SCOPUS 정보 검색 플랫폼

Volumn , Issue , 2007, Pages 335-340

Likelihood based classification in Bayesian networks

Author keywords

Classification; Machine learning; Probabilistic networks

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; LEARNING SYSTEMS; PROBABILISTIC LOGICS; PROBABILITY DISTRIBUTIONS;

PROBABILISTIC NETWORKS; PROBABILITY DISTRIBUTION INFORMATION; REPOSITORY DATASETS;

BAYESIAN NETWORKS;

EID: 38349177327 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (1)

References (10)

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2
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3
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- Learning Bayesian networks: The combination of knowledge and statistical data
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- (1995) Machine Learning , vol.20 , Issue.3 , pp. 197243
- Heckerman, D.¹ Geiger, D.² Chickering, D.M.³

6
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- Bayesian model averaging: A tutorial
- J.A. Hoeting, D. Madigan, A.E. Raftery and C.T. Volinsky, Bayesian model averaging: A tutorial, Statistical Science, 14(4), 1999, 382417
- (1999) Statistical Science , vol.14 , Issue.4 , pp. 382417
- Hoeting, J.A.¹ Madigan, D.² Raftery, A.E.³ Volinsky, C.T.⁴

7
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- P. Spirtes, C. Glymour and R. Schemes, Causation, Prediction, and Search, 2nd ed. (The MIT Press, 2000)
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8
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- D.J. Newman, S. Hettich, C.L. Blake and C.J. Merz, UCI repository of machine learning databases, http://www.ics.uci.edu/mlearn/MLRepository.html, 1998
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9
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- U.M. Fayyad and K.B. Irani, Multi-interval discretization of continuous-valued attributes for classification learning, Proc. 13th International Joint Conference on Artificial Intelligence, Chambery, France, 1993, 10221029

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- On comparing classifiers: A critique of current research and methods
- S. Salzberg, On comparing classifiers: A critique of current research and methods, Data Mining and Knowledge Discovery, 1, 1999, 112
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- Salzberg, S.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.