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Volumn 26, Issue 4, 1996, Pages 590-598

Finite time analysis of the pursuit algorithm for learning automata

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; CONVERGENCE OF NUMERICAL METHODS; DECISION MAKING; DECISION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 0030212543     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.517033     Document Type: Article
Times cited : (40)

References (16)
  • 3
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    • (1977) IEEE Trans. Syst., Man, Cybern. , vol.7 , pp. 785-792
    • Narendra, K.S.1    Wright, E.2    Mason, L.G.3
  • 4
    • 0023171016 scopus 로고
    • Learning optimal discriminant functions through a cooperative game of automata
    • M. A. L. Thathachar and P. S. Sastry, "Learning optimal discriminant functions through a cooperative game of automata," IEEE Trans. Syst., Man, Cybern., vol. 17, no. 1, pp. 73-85, 1987.
    • (1987) IEEE Trans. Syst., Man, Cybern. , vol.17 , Issue.1 , pp. 73-85
    • Thathachar, M.A.L.1    Sastry, P.S.2
  • 5
    • 0022686265 scopus 로고
    • Relaxation labeling with learning automata
    • Mar.
    • _, "Relaxation labeling with learning automata," IEEE Trans. Pattern Anal. Machine Intell., vol. 8, pp. 256-268, Mar. 1986.
    • (1986) IEEE Trans. Pattern Anal. Machine Intell. , vol.8 , pp. 256-268
  • 8
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. G. Valiant, "A theory of the learnable," Comm. ACM, vol. 27, pp. 1134-1142, 1984.
    • (1984) Comm. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.G.1
  • 9
    • 0024750852 scopus 로고
    • Learnability and Vapnik-Chervonenkis dimension
    • A. Blumer, A. Ehrenfeucht, D. Haussler, and H. Warmuth, "Learnability and Vapnik-Chervonenkis dimension," J. ACM, vol. 36, no. 3, pp. 939-965, 1989.
    • (1989) J. ACM , vol.36 , Issue.3 , pp. 939-965
    • Blumer, A.1    Ehrenfeucht, A.2    Haussler, D.3    Warmuth, H.4
  • 11
    • 0024082469 scopus 로고
    • Quantifying inductive bias: AI Learning algorithms and Valiant's learning framework
    • D. Haussler, "Quantifying inductive bias: AI Learning algorithms and Valiant's learning framework," Artif. Intell., vol. 36, pp. 177-221, 1988.
    • (1988) Artif. Intell. , vol.36 , pp. 177-221
    • Haussler, D.1
  • 13
    • 0021834552 scopus 로고
    • A class of rapidly converging algorithms for learning automata
    • M. A. L. Thathachar and P. S. Sastry, "A class of rapidly converging algorithms for learning automata," IEEE Trans. Syst., Man, Cybern., vol. 15, pp. 168-175, 1985.
    • (1985) IEEE Trans. Syst., Man, Cybern. , vol.15 , pp. 168-175
    • Thathachar, M.A.L.1    Sastry, P.S.2
  • 14
    • 0026943998 scopus 로고
    • Discretized estimator learning automata
    • J. K. Lanctot and B. J. Oommen, "Discretized estimator learning automata," IEEE Trans. Syst., Man, Cybern., vol. 22, no. 6, pp. 1473-1483, 1992.
    • (1992) IEEE Trans. Syst., Man, Cybern. , vol.22 , Issue.6 , pp. 1473-1483
    • Lanctot, J.K.1    Oommen, B.J.2
  • 15
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • W. Hoeffding, "Probability inequalities for sums of bounded random variables," J. Amer. Stat. Assoc., vol. 58, pp. 13-30, 1963.
    • (1963) J. Amer. Stat. Assoc. , vol.58 , pp. 13-30
    • Hoeffding, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.