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P. Shanti Sastry
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2000 – 2009
- 2004
- [j11]Shesha Shah, P. Shanti Sastry:
Fingerprint classification using a feedback-based line detector. IEEE Trans. Syst. Man Cybern. Part B 34(1): 85-94 (2004) - 2002
- [j10]M. A. L. Thathachar, P. Shanti Sastry:
Varieties of learning automata: an overview. IEEE Trans. Syst. Man Cybern. Part B 32(6): 711-722 (2002)
1990 – 1999
- 1999
- [j9]Shesha Shah, P. Shanti Sastry:
New algorithms for learning and pruning oblique decision trees. IEEE Trans. Syst. Man Cybern. Part C 29(4): 494-505 (1999) - [j8]K. Rajaraman, P. Shanti Sastry:
Stochastic optimization over continuous and discrete variables with applications to concept learning under noise. IEEE Trans. Syst. Man Cybern. Part A 29(6): 542-553 (1999) - 1994
- [j7]P. Shanti Sastry, M. A. L. Thathachar:
Analysis of Stochastic Automata Algorithm for Relaxation Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 16(5): 538-543 (1994) - [j6]Vijay V. Phansalkar, P. Shanti Sastry:
Analysis of the back-propagation algorithm with momentum. IEEE Trans. Neural Networks 5(3): 505-506 (1994) - [j5]P. Shanti Sastry, Vijay V. Phansalkar, M. A. L. Thathachar:
Decentralized Learning of Nash Equilibria in Multi-Person Stochastic Games With Incomplete Information. IEEE Trans. Syst. Man Cybern. Syst. 24(5): 769-777 (1994)
1980 – 1989
- 1987
- [j4]M. A. L. Thathachar, P. Shanti Sastry:
A hierarchical system of learning automata that can learn die globally optimal path. Inf. Sci. 42(2): 143-166 (1987) - [j3]Mandayam A. L. Thathachar, P. Shanti Sastry:
Learning Optimal Discriminant Functions through a Cooperative Game of Automata. IEEE Trans. Syst. Man Cybern. 17(1): 73-85 (1987) - [c1]P. Shanti Sastry, N. Jayakumar, C. E. Veni Madhavan:
Efficient Algorithms for Domination and Hamilton Circuit Problems on Permutation Graphs. FSTTCS 1987: 65-78 - 1986
- [j2]Mandayam A. L. Thathachar, P. Shanti Sastry:
Relaxation Labeling with Learning Automata. IEEE Trans. Pattern Anal. Mach. Intell. 8(2): 256-268 (1986) - 1985
- [j1]M. A. L. Thathachar, P. Shanti Sastry:
A new approach to the design of reinforcement schemes for learning automata. IEEE Trans. Syst. Man Cybern. 15(1): 168-175 (1985)
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