Conference Publications

Bioinformatics

  A. Jagota, R.B. Lyngso, C.N.S. Pedersen. Comparing a hidden Markov model and a stochastic context-free grammar. In Proceedings of the first workshop on algorithms in bioinformatics (WABI 01), 69-84. full-text PDF.

  S. Sonnenburg, G. Ratsch, A. Jagota, K.-R. Mueller. New methods for splice site recognition. Proceedings of the International Conference on Artificial Neural Networks, 2002. (Copyright by Springer.) full-text PDF.

Artificial Intelligence

  M. K. Warmuth, A. Jagota. Continuous and Discrete Time Nonlinear Gradient Descent: Relative Loss Bounds and Convergence, Fifth Symposium on Artificial Intelligence and Mathematics,1997. Electronic Proceedings.

  A. Jagota. Constraint Satisfaction and Maximum Clique. AAAI Spring Symposium on AI and NP-hard problems, Stanford University,1993. full text - PDF.

Neural Networks

Theory

 X. Wang, A. Jagota, F. Botelho, M. Garzon. Absence of Cycles in Symmetric Neural Networks. In Proceedings of 1995 Conference on Neural Information Processing Systems, 1995. See Journal Publications for expanded version.

  M. Garzon, A. Jagota. Efficient Neural Net Isomorphism Testing, In Proceedings of Second Swedish Conference on Connectionism, Skovde, Sweden, 1995.

Associative Memories

 N. Duffy, A. Jagota. Generalized Connectionist Associative Memory, Proceedings of Twelfth International Joint Conference on Artificial Intelligence, 1999.

A. Jagota, A. Negatu, D. Kaznachey. Information Capacity and Fault Tolerance of Binary Weights Hopfield Nets, In Proceedings of International Conference on Neural Networks, Orlando, 1994, pages 1044--1049.

 J. Ueberla, A. Jagota. The Hybrid Hopfield-clique Memory with Perfect Storage, In Proceedings of International Conference on Neural Networks, San Francisco, 1993, pages 895--900.

 A. Jagota, Information Capacity of a Hopfield-style Memory, In Proceedings of World Congress on Neural Networks'93, Portland, OR, 1993. See Journal Publications for expanded version.

 A. Jagota, Word Recognition with a Hopfield-style Net, In Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, ASME Press, 1992, pages 445--450. Proceedings of Artificial Neural Networks in Engineering, 1992. See Journal Publications for expanded version.

 A. Jagota. Applying a Hopfield-style Network to Degraded Text Recognition, In Proceedings of the International Joint Conference on Neural Networks'90, San Diego, 1990, pages 27--32. See Journal Publications for expanded version.

Optimization

A. DiBlas, A. Jagota, R.P. Hughey. Parallel Implementations of Optimizing Neural Networks, In Proceedings of Artificial Neural Networks in Engineering, St. Louis, 2000 ( full-text in PDF ) .

A. Jagota, M. Garzon. On the Mappings of Optimization Problems to Neural Networks, In Proceedings of World Congress on Neural Networks'94, San Diego, 1994, pages 391--398.

 A. Jagota, Optimization by Reduction to Maximum Clique,In Proceedings of International Conference on Neural Networks, San Francisco, 1993, pages 1526--1531.

  A. Jagota, Graph Coloring with the Hopfield-clique Network, In Proceedings of World Congress on Neural Networks'93, Portland, OR, 1993, pages 134--139.

  A. Jagota, Scheduling Problems in Radio Networks using Hopfield Networks, In Proceedings of International Workshop on Applications of Neural Networks to Telecommunications, Princeton, 1993, Lawrence Erlbaum Associates, pages 67--76.

 A. Jagota, Efficiently Approximating Max-Clique in a Hopfield-style Network, In Proceedings of the International Joint Conference on Neural Networks'92, Baltimore, 1992, pages 248--253. See Journal Publications for expanded version.

Parallel and Distributed Processing

 B. Chapin, A. Jagota, Good Rings in Grids with Bad Nodes, In Proceedings of International Conference on Parallel and Distributed Processing Techniques and Applications, 1996.

  A. Jagota, A Near-Optimal Algorithm for Gossiping in a d-dimensional Mesh Bus Interconnection Network, In Proceedings of International Parallel Processing Symposium 1995, 1995.

Book Chapters

A. Jagota, X. Wang. Oscillations in Discrete and Continuous Hopfield Networks, In Oscillations in Neural Systems, D.S. Levine, V. Brown,and T. Shirey (Eds), Lawrence Erlbaum Associates.

  A. Jagota, L. Sanchis, R. Ganesan, Approximately Solving Maximum Clique Using Neural Network and Related Heuristics, In Second DIMACS Implementation Challenge, D.S. Johnson and M.A. Trick (eds.), DIMACS Series in Discrete Mathematics and Theoretical Computer Science, v. 26, p. 169--203, 1996.

  A. Jagota, Optimization by a Hopfield-style Network, In Optimality in Biological and Artificial Neural Networks, D.S. Levine and W. Elsberry (Eds), p. 203--226, Lawrence Erlbaum Associates, 1994.

 A. Jagota, Representing Discrete Structures in a Hopfield-Style Network, In Neural Networks for Knowledge Representation and Inference, D.S. Levine and M. Aparicio (Eds), Lawrence Erlbaum Associates, 1993.