References

References

Publications: It's been a while since I have been active academically, but here they are for what it's worth. Most of the papers are available in postscript or PDF form. There is even an HTML version of one of them. The rest are available by request.

Video Processing

M. Covell and S.Ahmad, Analysis-by-Synthesis Dissolve Detection Proc. IEEE International Conference on Image Processing, Rochester, NY, Sept 23-25 2002

Tracking

C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman. Probabilistic Models of Verbal and Body Gestures. In R. Cipolla and A. Pentland, eds., Computer Vision for Human-Machine Interaction , Cambridge University Press, 1997.

S. Ahmad. A Usable Real-Time 3D Hand Tracker (postscript) 28th Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society Press 1995.

Network Training/Prediction with Missing and Noisy Information

V. Tresp, R. Neuneier, and S. Ahmad. Representing probabilistic rules with networks of gaussian basis functions(PDF) Machine Learning, 1997.

V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; M. Covell and S.Ahmad, Analysis-by-Synthesis Dissolve Detection Proc. IEEE International Conference on Image Processing, Rochester, NY, Sept 23-25 2002

Tracking

C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman. Probabilistic Models of Verbal and Body Gestures. In R. Cipolla and A. Pentland, eds., Computer Vision for Human-Machine Interaction , Cambridge University Press, 1997.

S. Ahmad. A Usable Real-Time 3D Hand Tracker (postscript) 28th Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society Press 1995.

Network Training/Prediction with Missing and Noisy Information

V. Tresp, R. Neuneier, and S. Ahmad. Representing probabilistic rules with networks of gaussian basis functions(PDF) Machine Learning, 1997.

V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman. Probabilistic Models of Verbal and Body Gestures. In R. Cipolla and A. Pentland, eds., Computer Vision for Human-Machine Interaction , Cambridge University Press, 1997.

S. Ahmad. A Usable Real-Time 3D Hand Tracker (postscript) 28th Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society Press 1995.

Network Training/Prediction with Missing and Noisy Information

V. Tresp, R. Neuneier, and S. Ahmad. Representing probabilistic rules with networks of gaussian basis functions(PDF) Machine Learning, 1997.

V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; S. Ahmad. A Usable Real-Time 3D Hand Tracker (postscript) 28th Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society Press 1995.

Network Training/Prediction with Missing and Noisy Information

V. Tresp, R. Neuneier, and S. Ahmad. Representing probabilistic rules with networks of gaussian basis functions(PDF) Machine Learning, 1997.

V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; V. Tresp, R. Neuneier, and S. Ahmad. Representing probabilistic rules with networks of gaussian basis functions(PDF) Machine Learning, 1997.

V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; V. Tresp, R. Neuneier, and S. Ahmad. Efficient Methods for Dealing with Missing Data in Supervised Learning In G. Tesauro, D. Touretzky, and T. Leen, eds., Advances in Neural Information Processing Systems 7, San Mateo, CA, Morgan Kaufman, 1995. Postscript version

V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: V. Tresp, S. Ahmad, and R. Neuneier. Training neural networks with deficient data. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 128-135. Morgan Kaufmann Publishers, 1994.

S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; S. Ahmad and V. Tresp. Classification with missing and uncertain inputs. In Proceedings of the IEEE International Conference on Neural Networks. San Francisco, CA, 1993.

S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007; S. Ahmad and V. Tresp. Some solutions to the missing feature problem in vision (PDF). (75K) In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 393-400. Morgan Kaufmann Publishers, 1993.

Probabilistic Networks

V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997

S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
V. Tresp, J. Hollatz, and S. Ahmad. (1997) Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Machine Learning. 27, pages 173-200, 1997 S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994. V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993. Visual Attention S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA. S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992. S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990. S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991. Generalization in Back-Propagation S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988 S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990 G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989. S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988. Miscellaneous S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988. Subutai Ahmad April 15, 2007
: S. Ahmad. Feature densities are required for computing feature correspondences. In J.D. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, pages 961-968. Morgan Kaufmann Publishers, 1994.

V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: V. Tresp, J. Hollatz, and S. Ahmad. Network structuring and training using rule-based knowledge. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 871-878. Morgan Kaufmann Publishers, 1993.

Visual Attention

S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad. VISIT: An Efficient Computational Model of Human Visual Attention. (356K) PhD thesis, University of Illinois at Urbana-Champaign, Champaign, IL, September 1991. Also TR-91-049, International Computer Science Institute, Berkeley, CA.

S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad. VISIT: A neural model of covert visual attention. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems 4, pages 420-427. Morgan Kaufmann Publishers, San Mateo, CA, 1992.

S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad and S. Omohundro. Equilateral triangles: A challenge for connectionist vision. In Proceedings of the 12th Annual Conference of the Cognitive Science Society, Cambridge, MA, July 1990.

S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad and S. Omohundro. Efficient visual search: A connectionist solution. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pages 293-298. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.

Generalization in Back-Propagation

S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad and G. Tesauro. Scaling and generalization in neural networks: A case study. In: Touretzky, D.S., Hinton, G.E., and Sejnowski, T.J., editors. Proceedings of the 1988 Connectionists Models Summer School , Morgan Kaufmann Publishers, 1988

S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad, G. Tesauro, and Y. He. Asymptotic convergence of back-propagation: Numerical experiments. In Touretzky, D.S, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufmann Publishers, San Mateo, CA, 1990

G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: G. Tesauro, Y. He, and S. Ahmad. Asymptotic convergence of back-propagation. Neural Computation Volume 1, pages 382-391, 1989.

S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad. A study of scaling and generalization in neural networks. Technical Report UIUCDCS-R-88-1454, Department of Computer Science, University of Illinois, Urbana-Champaign, IL, 1988.

Miscellaneous

S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007
: S. Ahmad. Machine learning as a tool for analysis in social sciences. Technical Report CCSR-88-16, Center for Complex Systems Research, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, 1988.

Subutai Ahmad
April 15, 2007