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 )
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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.
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.