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Volumn 6331 LNAI, Issue , 2010, Pages 50-58

Bayesian active learning using arbitrary binary valued queries

Author keywords

Active Learning; Bayesian Learning; Information Theory; Sample Complexity

Indexed keywords

ACTIVE LEARNING; BAYESIAN; BAYESIAN LEARNING; EXPECTED RISK; SAMPLE COMPLEXITY; UPPER AND LOWER BOUNDS;

EID: 78249243073     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16108-7_8     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 67349151635 scopus 로고    scopus 로고
    • Using the doubling dimension to analyze the generalization of learning algorithms
    • Bshouty, N.H., Li, Y., Long, P.M.: Using the doubling dimension to analyze the generalization of learning algorithms. Journal of Computer and System Sciences 75, 323-335 (2009)
    • (2009) Journal of Computer and System Sciences , vol.75 , pp. 323-335
    • Bshouty, N.H.1    Li, Y.2    Long, P.M.3
  • 4
    • 0031209604 scopus 로고    scopus 로고
    • Selective Sampling Using the Query by Committee Algorithm
    • Freund, Y., Seung, H.S., Shamir, E., Tishby, N.: Selective sampling using the query by committee algorithm. Machine Learning 28, 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
  • 8
    • 0028132501 scopus 로고
    • Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension
    • Haussler, D., Kearns, M., Schapire, R.: Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension. Machine Learning 14, 83-113 (1994a)
    • (1994) Machine Learning , vol.14 , pp. 83-113
    • Haussler, D.1    Kearns, M.2    Schapire, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.