SCOPUS 정보 검색 플랫폼

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 745-752

Boosted Dyadic Kernel Discriminants

(2) Moghaddam, Baback a Shakhnarovich, Gregory b

a MITSUBISHI ELECTRIC RESEARCH LABORATORIES (United States)

b MASSACHUSETTS INSTITUTE OF TECHNOLOGY (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); NEAREST NEIGHBOR SEARCH; SUPPORT VECTOR MACHINES;

BINARY CLASSIFICATION; FINITE SET; GENERALIZATION PERFORMANCE; K-NN CLASSIFIER; KERNEL FUNCTION; MERCER CONDITION; REAL-WORLD DATASETS; SIMPLE++; TRAINING POINTS; UCI REPOSITORY;

ADAPTIVE BOOSTING;

EID: 85156189603 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (16)

References (9)

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2
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4
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- A decision-theoretic generalization of on-line learning and an application to boosting
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- Freund, Y.¹ Schapire, R. E.²

5
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- Probabilistic kernel regression models
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- Improved boosting algorithms using confidence-rated predictions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.