Learning Optimal Discriminant Functions through a Cooperative Game of Automata

@article{Thathachar1987LearningOD,
  title={Learning Optimal Discriminant Functions through a Cooperative Game of Automata},
  author={Mandayam A. L. Thathachar and P. Shanti Sastry},
  journal={IEEE Transactions on Systems, Man, and Cybernetics},
  year={1987},
  volume={17},
  pages={73-85}
}
The problem of learning correct decision rules to minimize the probability of misclassification is a long-standing problem of supervised learning in pattern recognition. The problem of learning such optimal discriminant functions is considered for the class of problems where the statistical properties of the pattern classes are completely unknown. The problem is posed as a game with common payoff played by a team of mutually cooperating learning automata. This essentially results in a… CONTINUE READING
34 Citations
16 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 34 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 16 references

Systems of learning automata: Estimator algorithms and applications,

  • S. Sastry
  • Ph.D. dissertation, Dep. Elec. Eng., Ind. Inst…
  • 1985

Learning automata for pattern recognition,

  • R. Ramesh
  • School of Automation, Indian Inst. Sci…
  • 1983

A leaning model for routing traffic in telephone networks,

  • P. R. Srikantakumar, K. S. Narendra
  • SIAM J. Contr. Opt.,
  • 1982

A new approach to designing reinforcement schemes for leaning automata

  • P. S. Sastry
  • SIAM J . Contr . Opt .
  • 1982

Hierarchical systems and cooperative games of leaning automata,

  • K. R. Ramakrishnan
  • Ph.D. dissertation, Dep. Elec. Eng., Ind. Inst…
  • 1982

Similar Papers

Loading similar papers…