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Volumn 5524 LNCS, Issue , 2009, Pages 1-10

Inference and Learning for Active Sensing, Experimental Design and Control

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; ACTIVE SENSING; ACTIVE VISION; CONTINUOUS MODELS; DECISION PROBLEMS; EXPECTED UTILITY; EXPERIMENTAL DESIGN; HUMAN COMPUTER INTERFACES; LEARNING FRAMEWORKS; NON-GAUSSIAN; NON-LINEAR OPTIMAL CONTROL; OPTIMAL CONTROLS; OPTIMAL EXPERIMENTAL DESIGNS; SENSOR AND ACTUATORS;

EID: 68749108525     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02172-5_1     Document Type: Conference Paper
Times cited : (6)

References (16)
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    • Bernardo, J.1
  • 3
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    • Bayesian experimental design: A review
    • Chaloner, K., Verdinelli, I.: Bayesian experimental design: A review. Statistical Science 10(3), 273-304 (1995)
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    • Chaloner, K.1    Verdinelli, I.2
  • 4
    • 0346982426 scopus 로고    scopus 로고
    • Using EM for reinforcement learning
    • Dayan, P., Hinton, G.E.: Using EM for reinforcement learning. Neural Computation 9, 271-278 (1997)
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    • Dayan, P.1    Hinton, G.E.2
  • 5
    • 77956889087 scopus 로고
    • Reversible jump Markov Chain Monte Carlo computation and Bayesian model determination
    • Green, P.: Reversible jump Markov Chain Monte Carlo computation and Bayesian model determination. Biometrika 82(4), 711-732 (1995)
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.1
  • 6
    • 68749113065 scopus 로고    scopus 로고
    • Hoffman, M., Doucet, A., de Freitas, N., Jasra, A.: Bayesian policy learning with trans-dimensional MCMC. In: NIPS (2007)
    • Hoffman, M., Doucet, A., de Freitas, N., Jasra, A.: Bayesian policy learning with trans-dimensional MCMC. In: NIPS (2007)
  • 7
    • 68749104962 scopus 로고    scopus 로고
    • On solving general state-space sequential decision problems using inference algorithms
    • Technical Report TR-2007-04, University of British Columbia, Computer Science
    • Hoffman, M., Doucet, A., de Freitas, N., Jasra, A.: On solving general state-space sequential decision problems using inference algorithms. Technical Report TR-2007-04, University of British Columbia, Computer Science (2007)
    • (2007)
    • Hoffman, M.1    Doucet, A.2    de Freitas, N.3    Jasra, A.4
  • 11
    • 68749115552 scopus 로고    scopus 로고
    • Myung, J.I, Pitt, M.A, Optimal experimental design for model discrimination under review
    • Myung, J.I., Pitt, M.A.: Optimal experimental design for model discrimination (under review)
  • 13
    • 0346706306 scopus 로고    scopus 로고
    • One hundred years of forgetting: A quantitative description of retention
    • Rubin, D.C., Wenzel, A.E.: One hundred years of forgetting: A quantitative description of retention. Psychological review 103, 734-760 (1996)
    • (1996) Psychological review , vol.103 , pp. 734-760
    • Rubin, D.C.1    Wenzel, A.E.2
  • 15
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    • Toussaint, M., Storkey, A.: Probabilistic inference for solving discrete and continuous state Markov Decision Processes. In: ICML (2006)
    • Toussaint, M., Storkey, A.: Probabilistic inference for solving discrete and continuous state Markov Decision Processes. In: ICML (2006)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.