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Volumn 4, Issue 1, 2004, Pages 101-117

Optimally-smooth adaptive boosting and application to agnostic learning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; POLYNOMIALS; PROBABILITY; STATISTICAL METHODS;

EID: 2342482532     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244304322765667     Document Type: Article
Times cited : (26)

References (20)
  • 9
    • 58149321460 scopus 로고
    • Boosting a weak learning algorithm by majority
    • Y. Freund. Boosting a weak learning algorithm by majority. Information and Computation 121(2), pp. 256-285, 1995.
    • (1995) Information and Computation , vol.121 , Issue.2 , pp. 256-285
    • Freund, Y.1
  • 12
    • 0031339159 scopus 로고    scopus 로고
    • An efficient membership-query algorithm for learning DNF with respect to the uniform distribution
    • J. Jackson. An efficient membership-query algorithm for learning DNF with respect to the uniform distribution. Journal of Computer and System Sciences 55(3), pp. 414-440, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.3 , pp. 414-440
    • Jackson, J.1
  • 15
    • 0028324717 scopus 로고
    • Cryptographic limitations on learning boolean formulae and finite automata
    • M. Kearns and L. Valiant. Cryptographic limitations on learning boolean formulae and finite automata. Journal of the ACM 41(1), pp. 67-95, 1994.
    • (1994) Journal of the ACM , vol.41 , Issue.1 , pp. 67-95
    • Kearns, M.1    Valiant, L.2
  • 17
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire. The strength of weak learnability. Machine Learning 5(2), pp. 197-227, 1990.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 20
    • 0021518106 scopus 로고
    • A theory of learnable
    • L. Valiant. A theory of learnable. Communications of the ACM 27(11), pp. 1134-1142, 1984.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.