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Volumn SS-15-03, Issue , 2015, Pages 35-38

Towards extracting faithful and descriptive representations of latent variable models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER CIRCUITS; FACTORIZATION; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; MATRIX ALGEBRA; POPULATION STATISTICS; PROGRAM DEBUGGING;

EID: 84987679919     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (11)
  • 1
    • 78649486389 scopus 로고    scopus 로고
    • Rule extraction from support vector machines: A review
    • Barakat, N. and Bradley. A. P. 2010. Rule extraction from support vector machines: a review. Neurocomputing 74(1): 178-190.
    • (2010) Neurocomputing , vol.74 , Issue.1 , pp. 178-190
    • Barakat, N.1    Bradley, A.P.2
  • 2
    • 0001019707 scopus 로고    scopus 로고
    • Learning Bayesian networks is np-complcte
    • Springer
    • Chickering, D. M. 1996. Learning bayesian networks is np-complcte. In Learning from data. Springer. 121-130.
    • (1996) Learning from Data , pp. 121-130
    • Chickering, D.M.1
  • 5
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recominender systems
    • Koren. Y; Bell. R.; and Volinsky. C. 2009. Matrix factorization techniques for recominender systems. Computer 42:30-37.
    • (2009) Computer , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 10
    • 0031099258 scopus 로고    scopus 로고
    • Learning causal networks from data: A survey and a new algorithm for recovering pos-sibilistic causal networks
    • Sangiiesa, R., and Cortes. U. 1997. Learning causal networks from data: a survey and a new algorithm for recovering pos-sibilistic causal networks. AI Communications 10(1):31-61.
    • (1997) AI Communications , vol.10 , Issue.1 , pp. 31-61
    • Sangiiesa, R.1    Cortes, U.2
  • 11
    • 85150197299 scopus 로고
    • Extracting rules from artificial neural networks with distributed representations
    • Thrun. S. 1995. Extracting rules from artificial neural networks with distributed representations. Advances in neural information processing systems 505-512.
    • (1995) Advances in Neural Information Processing Systems , pp. 505-512
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.