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Volumn , Issue , 2007, Pages 1033-1040

A nonparametric Bayesian method for inferring features from similarity judgments

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FORMULATION; CLUSTERING MODEL; LINEAR FUNCTIONS; NON-PARAMETRIC BAYESIAN;

EID: 55749097388     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 2
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    • Shepard, R.N.1    Arabie, P.2
  • 3
    • 85156220434 scopus 로고    scopus 로고
    • Learning the structure of similarity
    • D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors. MIT Press, Cambridge, MA
    • J. B. Tenenbaum. Learning the structure of similarity. In D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems, volume 8, pages 3-9. MIT Press, Cambridge, MA, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 3-9
    • Tenenbaum, J.B.1
  • 5
    • 0036882184 scopus 로고    scopus 로고
    • Generating additive clustering models with limited stochastic complexity
    • M. D. Lee. Generating additive clustering models with limited stochastic complexity. Journal of Classification, 19:69-85, 2002.
    • (2002) Journal of Classification , vol.19 , pp. 69-85
    • Lee, M.D.1
  • 11
    • 0000084898 scopus 로고
    • MAPCLUS: A mathematical programming approach to fitting the ADCLUS model
    • P. Arabie and J. Douglas Carroll. MAPCLUS: A mathematical programming approach to fitting the ADCLUS model. Psychometrika, 45:211-235, 1980.
    • (1980) Psychometrika , vol.45 , pp. 211-235
    • Arabie, P.1    Douglas Carroll, J.2
  • 12
    • 55749083678 scopus 로고    scopus 로고
    • Constructing distributed representations using additive clustering
    • Cambridge, MA. MIT Press
    • W. Ruml. Constructing distributed representations using additive clustering. In Advances in Neural Information Processing Systems 14, Cambridge, MA, 2001. MIT Press.
    • (2001) Advances in Neural Information Processing Systems , vol.14
    • Ruml, W.1
  • 13
    • 0036516795 scopus 로고    scopus 로고
    • Extending the ALCOVE model of category learning to featural stimulus domains
    • M. D. Lee and D. J. Navarro. Extending the ALCOVE model of category learning to featural stimulus domains. Psychonomic Bulletin and Review, 9:43-58, 2002.
    • (2002) Psychonomic Bulletin and Review , vol.9 , pp. 43-58
    • Lee, M.D.1    Navarro, D.J.2
  • 15
    • 44349109517 scopus 로고    scopus 로고
    • Feature selection in Feature Network Models: Finding predictive subsets of features with the Positive Lasso
    • in press
    • L. E. Frank and W. J. Heiser. Feature selection in Feature Network Models: Finding predictive subsets of features with the Positive Lasso. British Journal of Mathematical and Statistical Psychology, in press.
    • British Journal of Mathematical and Statistical Psychology
    • Frank, L.E.1    Heiser, W.J.2
  • 19
    • 0001955647 scopus 로고
    • A measure of stimulus similarity and errors in some paired-associate learning tasks
    • E. Z. Rothkopf. A measure of stimulus similarity and errors in some paired-associate learning tasks. Journal of Experimental Psychology, 53:94-101, 1957.
    • (1957) Journal of Experimental Psychology , vol.53 , pp. 94-101
    • Rothkopf, E.Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.