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Volumn , Issue , 2009, Pages 553-560

Modeling human function learning with Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; RATIONAL FUNCTIONS;

EID: 84863342363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (13)
  • 1
    • 0003660578 scopus 로고
    • Functional learning: The learning of continuous functional mappings relating stimulus and response continua
    • Princeton, NJ
    • J. D. Carroll. Functional learning: The learning of continuous functional mappings relating stimulus and response continua. Education Testing Service, Princeton, NJ, 1963.
    • (1963) Education Testing Service
    • Carroll, J.D.1
  • 2
    • 0002224661 scopus 로고
    • Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks
    • B. Brehmer. Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks. Organizational Behavior and Human Decision Processes, 11:1-27, 1974.
    • (1974) Organizational Behavior and Human Decision Processes , vol.11 , pp. 1-27
    • Brehmer, B.1
  • 5
    • 0041150761 scopus 로고    scopus 로고
    • Learning functional relations based on experience with input-output pairs by humans and artificial neural networks
    • K. Lamberts and D. Shanks, editors. MIT Press, Cambridge
    • J. R. Busemeyer, E. Byun, E. L. DeLosh, and M. A. McDaniel. Learning functional relations based on experience with input-output pairs by humans and artificial neural networks. In K. Lamberts and D. Shanks, editors, Concepts and Categories, pages 405-437. MIT Press, Cambridge, 1997.
    • (1997) Concepts and Categories , pp. 405-437
    • Busemeyer, J.R.1    Byun, E.2    Delosh, E.L.3    McDaniel, M.A.4
  • 6
    • 21244483173 scopus 로고    scopus 로고
    • The conceptual basis of function learning and extrapolation: Comparison of rule-based and associative-based models
    • M. A. McDaniel and J. R. Busemeyer. The conceptual basis of function learning and extrapolation: Comparison of rule-based and associative-based models. Psychonomic Bulletin and Review, 12:24-42, 2005. (Pubitemid 40900492)
    • (2005) Psychonomic Bulletin and Review , vol.12 , Issue.1 , pp. 24-42
    • Mcdaniel, M.A.1    Busemeyer, J.R.2
  • 7
    • 5644280288 scopus 로고    scopus 로고
    • Population of linear experts: Knowledge partitioning and function learning
    • DOI 10.1037/0033-295X.111.4.1072
    • M. Kalish, S. Lewandowsky, and J. Kruschke. Population of linear experts: Knowledge partitioning and function learning. Psychological Review, 111:1072-1099, 2004. (Pubitemid 39375088)
    • (2004) Psychological Review , vol.111 , Issue.4 , pp. 1072-1099
    • Kalish, M.L.1    Lewandowsky, S.2    Kruschke, J.K.3
  • 10
    • 0003017575 scopus 로고    scopus 로고
    • Prediction with Gaussian processes: From linear regression to linear prediction and beyond
    • M. I. Jordan, editor. MIT Press, Cambridge, MA
    • C. K. I. Williams. Prediction with Gaussian processes: From linear regression to linear prediction and beyond. In M. I. Jordan, editor, Learning in Graphical Models, pages 599-621. MIT Press, Cambridge, MA, 1998.
    • (1998) Learning in Graphical Models , pp. 599-621
    • Williams, C.K.I.1
  • 11
    • 85027858154 scopus 로고
    • Priors for infinite networks
    • Department of Computer Science, University of Toronto
    • R. M. Neal. Priors for infinite networks. Technical Report CRG-TR-94-1, Department of Computer Science, University of Toronto, 1994.
    • (1994) Technical Report CRG-TR-94-1
    • Neal, R.M.1
  • 12
    • 0001441372 scopus 로고
    • Probable networks and plausible predictions - A review of practical bayesian methods for supervised neural networks
    • D.J.C. MacKay. Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks. Network: Computation in Neural Systems, 6:469-505, 1995.
    • (1995) Network: Computation in Neural Systems , vol.6 , pp. 469-505
    • MacKay, D.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.