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Volumn 16, Issue 4, 2001, Pages 67-70

Sequence Learning: From Recognition and Prediction to Sequential Decision Making

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; INDUCTIVE LOGIC PROGRAMMING; SEQUENCE LEARNING; SEQUENTIAL DECISION MAKING;

EID: 0035387537     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2001.1463065     Document Type: Article
Times cited : (95)

References (28)
  • 2
    • 0035740527 scopus 로고    scopus 로고
    • From Implicit Skills to Explicit Knowledge: A Bottom-Up Model of Skill Learning
    • R. Sun, E. Merrill, and T. Peterson, “From Implicit Skills to Explicit Knowledge: A Bottom-Up Model of Skill Learning,” Cognitive Science, vol. 25, no. 2, 2001, pp. 203–244.
    • (2001) Cognitive Science , vol.25 , Issue.2 , pp. 203-244
    • Sun, R.1    Merrill, E.2    Peterson, T.3
  • 3
    • 85012688561 scopus 로고
    • Princeton Univ. Press, Princeton, N.J.
    • R. Bellman, Dynamic Programming, Princeton Univ. Press, Princeton, N.J., 1957.
    • (1957) Dynamic Programming
    • Bellman, R.1
  • 7
    • 0002242826 scopus 로고    scopus 로고
    • Learning to Use Selective Attention and Short-Term Memory in Sequential Tasks
    • MIT Press, Cambridge, Mass
    • A. McCallum, “Learning to Use Selective Attention and Short-Term Memory in Sequential Tasks,” Proc. Conf. Simulation of Adaptive Behavior, MIT Press, Cambridge, Mass., 1996, pp. 315–324.
    • (1996) Proc. Conf. Simulation of Adaptive Behavior , pp. 315-324
    • McCallum, A.1
  • 9
    • 0002044093 scopus 로고    scopus 로고
    • Identifying Hierarchical Structure in Sequences: A Linear-Time Algorithm
    • C. Nevill-Manning and I. Witten, “Identifying Hierarchical Structure in Sequences: A Linear-Time Algorithm,” J. Artificial Intelligence Research, vol. 7, 1997, pp. 67–82.
    • (1997) J. Artificial Intelligence Research , vol.7 , pp. 67-82
    • Nevill-Manning, C.1    Witten, I.2
  • 10
    • 0032772352 scopus 로고    scopus 로고
    • Multi-agent Reinforcement Learning: Weighting and Partitioning
    • R. Sun and T. Peterson, “Multi-agent Reinforcement Learning: Weighting and Partitioning,” Neural Networks, vol. 12, nos. 4–5, 1999, pp. 127–153.
    • (1999) Neural Networks , vol.12 , Issue.4-5 , pp. 127-153
    • Sun, R.1    Peterson, T.2
  • 11
    • 0029390263 scopus 로고
    • Reinforcement Learning of Multiple Tasks Using a Hierarchical CMAC Architecture
    • C. Tham, “Reinforcement Learning of Multiple Tasks Using a Hierarchical CMAC Architecture,” Robotics and Autonomous Systems, vol. 15, 1995, pp. 247–274.
    • (1995) Robotics and Autonomous Systems , vol.15 , pp. 247-274
    • Tham, C.1
  • 13
    • 0029560406 scopus 로고
    • Learning a Class of Large Finite State Machines with a Recurrent Neural Network
    • C. L. Giles, B.G. Horne, and T. Lin, “Learning a Class of Large Finite State Machines with a Recurrent Neural Network,” Neural Networks, vol. 8 no. 9, 1995, pp. 1359–1365.
    • (1995) Neural Networks , vol.8 , Issue.9 , pp. 1359-1365
    • Giles, C.L.1    Horne, B.G.2    Lin, T.3
  • 14
    • 34247119163 scopus 로고
    • Storage and Retrieval of Complex Sequences in Neural Networks
    • I. Guyon et al., “Storage and Retrieval of Complex Sequences in Neural Networks,” Physical Rev. A, vol. 38, 1988, pp. 6365–6372.
    • (1988) Physical Rev. A , vol.38 , pp. 6365-6372
    • Guyon, I.1
  • 15
    • 0024213260 scopus 로고
    • Associative Neural Network Models for the Generation of Temporal Patterns
    • D. Kleinfeld and H. Sompolinsky, “Associative Neural Network Models for the Generation of Temporal Patterns,” Biophysics J., vol. 54, 1988, pp. 1039–1051.
    • (1988) Biophysics J , vol.54 , pp. 1039-1051
    • Kleinfeld, D.1    Sompolinsky, H.2
  • 16
    • 85008005577 scopus 로고
    • Rewards, PhD thesis, Cambridge Univ., Cambridge, UK
    • C. Watkins, Learning with Delayed Rewards, PhD thesis, Cambridge Univ., Cambridge, UK, 1989.
    • (1989) Learning with Delayed
    • Watkins, C.1
  • 17
    • 0000123778 scopus 로고
    • Self-Improving Reactive Agents Based on Reinforcement Learning, Planning, and Teaching
    • L. Lin, “Self-Improving Reactive Agents Based on Reinforcement Learning, Planning, and Teaching,” Machine Learning, vol. 8, 1992, pp. 293–321.
    • (1992) Machine Learning , vol.8 , pp. 293-321
    • Lin, L.1
  • 18
    • 0001046225 scopus 로고
    • Practical Issues in Temporal Difference Learning
    • T. Tesauro, “Practical Issues in Temporal Difference Learning,” Machine Learning, vol. 8, 1992, pp. 257–277.
    • (1992) Machine Learning , vol.8 , pp. 257-277
    • Tesauro, T.1
  • 21
    • 0001862769 scopus 로고
    • An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of a Markov Process
    • L.E. Baum, “An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of a Markov Process” Inequalities, vol. 3, 1972, pp. 1–8.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, L.E.1
  • 22
    • 84976984248 scopus 로고
    • The Evolution of Strategies for Multiagent Environments
    • J. Grefenstette, “The Evolution of Strategies for Multiagent Environments,” Adaptive Behavior, vol. 1, no. 1, 1992, pp. 65–90.
    • (1992) Adaptive Behavior , vol.1 , Issue.1 , pp. 65-90
    • Grefenstette, J.1
  • 23
    • 0030167565 scopus 로고    scopus 로고
    • An Incremental Approach to Developing Intelligent Neural Network Controllers for Robots
    • L. Meeden, “An Incremental Approach to Developing Intelligent Neural Network Controllers for Robots,” IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 26, no. 3, 1996, pp. 473–485.
    • (1996) IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics , vol.26 , Issue.3 , pp. 473-485
    • Meeden, L.1
  • 24
    • 0032207548 scopus 로고    scopus 로고
    • Autonomous Learning of Sequential Tasks: Experiments and Analyses
    • Nov
    • R. Sun and T. Peterson, “Autonomous Learning of Sequential Tasks: Experiments and Analyses,” IEEE Trans. Neural Networks, vol. 9, no. 6, Nov. 1998, pp. 1217–1234.
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.6 , pp. 1217-1234
    • Sun, R.1    Peterson, T.2
  • 25
    • 0030697013 scopus 로고    scopus 로고
    • Abstraction and Approximate Decision Theoretic Planning
    • R. Dearden and C. Boutilier, “Abstraction and Approximate Decision Theoretic Planning,” Artificial Intelligence, vol. 89, 1997, pp. 219–283.
    • (1997) Artificial Intelligence , vol.89 , pp. 219-283
    • Dearden, R.1    Boutilier, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.