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Volumn , Issue , 2008, Pages

A general agnostic active learning algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 85161987046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (182)

References (17)
  • 1
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    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 2
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    • Selective sampling using the query by committee algorithm
    • Y. Freund, H. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Machine Learning, 28(2):133-168, 1997. (Pubitemid 127506338)
    • (1997) Machine Learning , vol.28 , Issue.2-3 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 3
    • 33745762904 scopus 로고    scopus 로고
    • Analysis of perceptron-based active learning
    • S. Dasgupta, A. Kalai, and C. Monteleoni. Analysis of perceptron-based active learning. In COLT, 2005.
    • (2005) COLT
    • Dasgupta, S.1    Kalai, A.2    Monteleoni, C.3
  • 4
    • 71049162986 scopus 로고    scopus 로고
    • Coarse sample complexity bounds for active learning
    • S. Dasgupta. Coarse sample complexity bounds for active learning. In NIPS, 2005.
    • (2005) NIPS
    • Dasgupta, S.1
  • 5
    • 77955665388 scopus 로고    scopus 로고
    • Teaching dimension and the complexity of active learning
    • S. Hanneke. Teaching dimension and the complexity of active learning. In COLT, 2007.
    • (2007) COLT
    • Hanneke, S.1
  • 8
    • 56449098707 scopus 로고    scopus 로고
    • Minimax bounds for active learning
    • R. Castro and R. Nowak. Minimax bounds for active learning. In COLT, 2007.
    • (2007) COLT
    • Castro, R.1    Nowak, R.2
  • 11
    • 34547987626 scopus 로고    scopus 로고
    • Active learning in the non-realizable case
    • M. Kääriäinen. Active learning in the non-realizable case. In ALT, 2006.
    • (2006) ALT
    • Kääriäinen, M.1
  • 12
    • 56449094315 scopus 로고    scopus 로고
    • A bound on the label complexity of agnostic active learning
    • S. Hanneke. A bound on the label complexity of agnostic active learning. In ICML, 2007.
    • (2007) ICML
    • Hanneke, S.1
  • 15
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • V. Vapnik and A. Chervonenkis. On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications, 16:264-280, 1971.
    • (1971) Theory of Probability and Its Applications , vol.16 , pp. 264-280
    • Vapnik, V.1    Chervonenkis, A.2
  • 16
    • 84858789523 scopus 로고    scopus 로고
    • Efficient algorithms for general active learning
    • C. Monteleoni. Efficient algorithms for general active learning. In COLT. Open problem, 2006.
    • (2006) COLT. Open Problem
    • Monteleoni, C.1
  • 17
    • 35448964255 scopus 로고    scopus 로고
    • Hardness of learning halfspaces with noise
    • V. Guruswami and P. Raghavendra. Hardness of learning halfspaces with noise. In FOCS, 2006.
    • (2006) FOCS
    • Guruswami, V.1    Raghavendra, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.