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Volumn , Issue , 2009, Pages 1617-1624

Simple local models for complex dynamical systems

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 84863338500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (17)
  • 5
    • 0034198996 scopus 로고    scopus 로고
    • Observable operator models for discrete stochastic time series
    • Herbert Jaeger. Observable operator models for discrete stochastic time series. Neural Computation, 12(6):1371-1398, 2000.
    • (2000) Neural Computation , vol.12 , Issue.6 , pp. 1371-1398
    • Jaeger, H.1
  • 6
    • 31844457132 scopus 로고    scopus 로고
    • Predictive state representations: A new theory for modeling dynamical systems
    • Satinder Singh,Michael R. James, andMatthew R. Rudary. Predictive state representations: A new theory for modeling dynamical systems. In Uncertainty in Artificial Intelligence 20 (UAI), pages 512-519, 2004.
    • (2004) Uncertainty in Artificial Intelligence 20 (UAI , pp. 512-519
    • Singh, S.1    James, M.R.2    Rudary, M.R.3
  • 7
    • 0033170372 scopus 로고    scopus 로고
    • Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
    • DOI 10.1016/S0004-3702(99)00052-1
    • Richard Sutton, Doina Precup, and Satinder Singh. Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning. Artificial Intelligence, 112:181-211, 1999. (Pubitemid 32079890)
    • (1999) Artificial Intelligence , vol.112 , Issue.1 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.3
  • 11
    • 0019909899 scopus 로고
    • A survey of partially observable markov decisions processes: Theory models, and algorithms
    • George E. Monahan. A survey of partially observable markov decisions processes: Theory, models, and algorithms. Management Science, 28(1):1-16, 1982.
    • (1982) Management Science , vol.28 , Issue.1 , pp. 1-16
    • Monahan, G.E.1
  • 14
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • Adam Berger, Stephen Della Pietra, and Vincent Della Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71, 1996.
    • (1996) Computational Linguistics , vol.22 , Issue.1 , pp. 39-71
    • Berger, A.1    Della Pietra, S.2    Della Pietra, V.3
  • 17
    • 14344251007 scopus 로고    scopus 로고
    • Learning and discovery of predictive state representations in dynamical systems with reset
    • Michael James and Satinder Singh. Learning and discovery of predictive state representations in dynamical systems with reset. In International Conference on Machine Learning 21 (ICML), 2004.
    • (2004) International Conference on Machine Learning 21 ICML)
    • James, M.1    Singh, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.