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Volumn 3698 LNAI, Issue , 2005, Pages 107-120

On utilizing stochastic learning weak estimators for training and classification of patterns with non-stationary distributions

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION; LEARNING SYSTEMS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; PERSONNEL TRAINING;

EID: 33646177242     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11551263_10     Document Type: Conference Paper
Times cited : (6)

References (32)
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    • Jang, Y.M.1
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    • Oommen, B.J.1
  • 17
    • 0035359274 scopus 로고    scopus 로고
    • Continuous and discretized pursuit learning schemes: Various algorithms and their comparison
    • June
    • B.J. Oommen and M. Agache. Continuous and Discretized Pursuit Learning Schemes: Various Algorithms and Their Comparison. IEEE Trans, on Systems, Man and Cybernetics, SMC-31(B):277-287, June 2001.
    • (2001) IEEE Trans, on Systems, Man and Cybernetics , vol.SMC-31 , Issue.B , pp. 277-287
    • Oommen, B.J.1    Agache, M.2
  • 21
    • 0028483135 scopus 로고
    • A new approach to the design of reinforcement schemes for learning automata: Stochastic estimator learning algorithms
    • G.I. Papadimitriou. A New Approach to the Design of Reinforcement Schemes for Learning Automata: Stochastic Estimator Learning Algorithms. IEEE Trans, on Knowledge and Data Engineering, 6:649-654, 1994.
    • (1994) IEEE Trans, on Knowledge and Data Engineering , vol.6 , pp. 649-654
    • Papadimitriou, G.I.1
  • 22
    • 0028483510 scopus 로고
    • Hierarchical discretized pursuit nonlinear learning automata with rapid convergence and high accuracy
    • G. I. Papadimitriou. Hierarchical Discretized Pursuit Nonlinear Learning Automata with Rapid Convergence and High Accuracy. IEEE Trans, on Knowledge and Data Engineering, 6:654-659, 1994.
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    • Papadimitriou, G.I.1
  • 23
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    • Finite time analysis of the pursuit algorithm for learning automata
    • K. Rajaraman and P. S. Sastry. Finite Time Analysis of the Pursuit Algorithm for Learning Automata. IEEE Trans, on Systems, Man and Cybernetics, 26(4):590-598, 1996.
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    • Rajaraman, K.1    Sastry, P.S.2
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    • 26444450257 scopus 로고    scopus 로고
    • A multi-expert approach for shot classification in news videos
    • Amsterdan, Elsevier
    • M. De Santo, G. Percannella, C. Sansone, and M. Vento. A multi-expert approach for shot classification in news videos. In Image Analysis and Recogniton, LNCS, volume 3211, pages 564-571, Amsterdan, 2004. Elsevier.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.