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Volumn 104, Issue 2, 2000, Pages 183-203

A Better Approximation for Balls

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EID: 0037816477     PISSN: 00219045     EISSN: None     Source Type: Journal    
DOI: 10.1006/jath.1999.3441     Document Type: Article
Times cited : (23)

References (19)
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    • Gruber, P.M.1
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    • Haussler D. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Inform. Comp. 100:1992;78-150.
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    • A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
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    • The perceptron: A probabilistic model for information storage and organization in the brain
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    • Sup-norm approximation bounds for networks through probabilistic methods
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.