SCOPUS 정보 검색 플랫폼

Management Information Systems

Volumn 2, Issue , 2000, Pages 495-503

Input dependent misclassification costs for cost-sensitive classifiers

(3) Hollmen J a Skubacz, M b Taniguchi, M b

a AALTO UNIVERSITY (Finland)

b SIEMENS AG (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS; DATA MINING; DECISION MAKING; ERROR ANALYSIS; LEARNING SYSTEMS; PATTERN RECOGNITION; PROBABILISTIC LOGICS; PROBLEM SOLVING; RISK ASSESSMENT; SIGNAL DETECTION; TELECOMMUNICATION SYSTEMS;

DATA CLASSIFICATION; HIDDEN MARKOV MODEL (HMM); MISCLASSIFICATION COSTS;

CLASSIFICATION (OF INFORMATION);

EID: 4444305641 PISSN: 14706326 EISSN: None Source Type: Book Series
DOI: None Document Type: Conference Paper

Times cited : (11)

References (9)

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2
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3
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- Pedro Domingos. Metacost: A general method for making classifiers cost-sensitive. In Kyuseok Shim and David Madigan, editors, Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 155-164, August 1999.
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- Domingos, P.¹

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- Ezawa, K.J.¹ Norton, S.W.²

5
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6
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- Hidden markov models: A guided tour
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- Poritz, A.B.¹

7
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- On the optimality of the simple bayesian classifier under zero-one loss
- November/December
- Pedro Domingos and Michael Pazzani. On the optimality of the simple bayesian classifier under zero-one loss. Machine Learning, 29(2/3):103-130, November/December 1997.
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8
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9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.