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Volumn 24, Issue 1, 2008, Pages 18-28

Analysis to Neyman-Pearson classification with convex loss function

Author keywords

Convex loss function; Neyman Pearson classification; Neyman Pearson lemma; NP ERM; Rademacher average

Indexed keywords


EID: 48249090119     PISSN: 16724070     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10496-008-0018-3     Document Type: Article
Times cited : (15)

References (10)
  • 6
    • 0001024505 scopus 로고
    • On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
    • 2
    • Vapnik, V. and Chervoneukis, A., On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities, Theory of Probability and its Applications, 16:2(1971), 264-280.
    • (1971) Theory of Probability and Its Applications , vol.16 , pp. 264-280
    • Vapnik, V.1    Chervoneukis, A.2
  • 9
    • 27744553952 scopus 로고    scopus 로고
    • A Neyman-Pearson Approach to Statistical Learning
    • 11
    • Scott, C. and Nowak, R., A Neyman-Pearson Approach to Statistical Learning, IEEE Transactions on Information Theory, 51:11(2005), 3806-3819.
    • (2005) IEEE Transactions on Information Theory , vol.51 , pp. 3806-3819
    • Scott, C.1    Nowak, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.