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Volumn 1, Issue , 2003, Pages 11-18

Learning Distance Functions using Equivalence Relations

Author keywords

Clustering; Feature selection; Learning from partial knowledge; Semi supervised learning

Indexed keywords

COMPUTATIONAL METHODS; FEATURE EXTRACTION; FUNCTIONS; ITERATIVE METHODS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; METRIC SYSTEM; OPTIMIZATION;

EID: 1942517347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (366)

References (15)
  • 1
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell,A., & Sejnowski,T. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7, 1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 3
    • 85156234841 scopus 로고    scopus 로고
    • Extracting relevant structures with side information
    • Chechik,G., & Tishby,N. (2002). Extracting relevant structures with side information. NIPS, 15.
    • (2002) NIPS , vol.15
    • Chechik, G.1    Tishby, N.2
  • 5
    • 85156250913 scopus 로고    scopus 로고
    • Discriminant adaptive nearest neighbor classification and regression
    • The MIT Press
    • Hastie,T., & Tibshirani,R. (1996). Discriminant adaptive nearest neighbor classification and regression. Advances in Neural Information Processing Systems (pp. 409-415). The MIT Press.
    • (1996) Advances in Neural Information Processing Systems , pp. 409-415
    • Hastie, T.1    Tibshirani, R.2
  • 8
    • 0003284798 scopus 로고
    • An application of the principle of maximum information preservation to linear systems
    • Morgan Kaufmann
    • Linsker,R. (1989). An application of the principle of maximum information preservation to linear systems. NIPS (pp. 186-194). Morgan Kaufmann.
    • (1989) NIPS , pp. 186-194
    • Linsker, R.1
  • 11
    • 0034202338 scopus 로고    scopus 로고
    • Separating style and content with bilinear models
    • Tenenbaum,J., & Freeman,W. (2000). Separating style and content with bilinear models. Neural Computation, 12, 1247-1283.
    • (2000) Neural Computation , vol.12 , pp. 1247-1283
    • Tenenbaum, J.1    Freeman, W.2
  • 12
    • 85031124575 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • The MIT Press
    • Thrun,S. (1996). Is learning the n-th thing any easier than learning the first? Advances in Neural Information Processing Systems (pp. 640-646). The MIT Press.
    • (1996) Advances in Neural Information Processing Systems , pp. 640-646
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.