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Volumn 4, Issue 4, 2004, Pages 633-648

Smooth boosting and learning with malicious noise

Author keywords

Boosting; Learning with Noise; Linear Threshold Functions

Indexed keywords

ALGORITHMS; BOOLEAN ALGEBRA; DATA HANDLING; FUNCTIONS; MATHEMATICAL MODELS; PROBABILITY; SPURIOUS SIGNAL NOISE;

EID: 2542488394     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244304773936072     Document Type: Conference Paper
Times cited : (146)

References (26)
  • 1
    • 0032047249 scopus 로고    scopus 로고
    • Specification and simulation of statistical query algorithms for efficiency and noise tolerance
    • J. Aslam and S. Decatur. Specification and simulation of statistical query algorithms for efficiency and noise tolerance. Journal of Computer and System Sciences, 56:191-208, 1998.
    • (1998) Journal of Computer and System Sciences , vol.56 , pp. 191-208
    • Aslam, J.1    Decatur, S.2
  • 2
    • 0346044653 scopus 로고    scopus 로고
    • Learning nested differences in the presence of malicious noise
    • P. Auer. Learning nested differences in the presence of malicious noise. Theoretical Computer Science, 185(1):159-175, 1997.
    • (1997) Theoretical Computer Science , vol.185 , Issue.1 , pp. 159-175
    • Auer, P.1
  • 8
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Machine Learning, 40(2): 139-158, 2000.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-158
    • Dietterich, T.G.1
  • 11
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 16
    • 0027640858 scopus 로고
    • Learning in the presence of malicious errors
    • M. Kearns and M. Li. Learning in the presence of malicious errors. SLAM Journal on Computing, 22(4): 807-837, 1993.
    • (1993) SLAM Journal on Computing , vol.22 , Issue.4 , pp. 807-837
    • Kearns, M.1    Li, M.2
  • 17
    • 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):67-95, 1994.
    • (1994) Journal of the ACM , vol.41 , Issue.1 , pp. 67-95
    • Kearns, M.1    Valiant, L.2
  • 20
    • 0041763189 scopus 로고    scopus 로고
    • Learning conjunctions with noise under product distributions
    • Y. Mansour and M. Parnas. Learning conjunctions with noise under product distributions. Information Processing Letters, 68(4):189-196, 1998.
    • (1998) Information Processing Letters , vol.68 , Issue.4 , pp. 189-196
    • Mansour, Y.1    Parnas, M.2
  • 22
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R. Schapire, Y. Freund, P. Bartlett, and W. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics, 26(5):1651-1686, 1998.
    • (1998) Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.1    Freund, Y.2    Bartlett, P.3    Lee, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.