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Volumn 2111, Issue , 2001, Pages 529-545

On using extended statistical queries to avoid membership queries

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; DECISION TREES; FORESTRY; FOURIER ANALYSIS; LEARNING SYSTEMS; TREES (MATHEMATICS); WAVEFORM ANALYSIS;

EID: 84943225164     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44581-1_35     Document Type: Conference Paper
Times cited : (5)

References (18)
  • 2
    • 0000492326 scopus 로고
    • Learning from noisy examples
    • Dana Angluin, Philip Laird. Learning from noisy examples. In Machine Learning, 2(4)pp.343–370, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 343-370
    • Angluin, D.1    Laird, P.2
  • 8
    • 0013411860 scopus 로고
    • Can PAC learning algorithms tolerate random attribute noise?
    • Sally Goldman, Robert Sloan. Can PAC learning algorithms tolerate random attribute noise? In Algorithmica, 14(1)pp. 70–84, 1995.
    • (1995) Algorithmica , vol.14 , Issue.1 , pp. 70-84
    • Goldman, S.1    Sloan, R.2
  • 9
    • 0027642076 scopus 로고
    • Exact identification of circuits using fixed points of amplification functions
    • Sally Goldman, Michael Kearns, Robert Shapire. Exact identification of circuits using fixed points of amplification functions, In SIAM Journal on Computing, 22 (1993), pp. 705–726.
    • (1993) In SIAM Journal on Computing , vol.22 , pp. 705-726
    • Goldman, S.1    Kearns, M.2    Shapire, R.3
  • 12
    • 0027188175 scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • Michael Kearns. Efficient noise-tolerant learning from statistical queries. In Proceedings of the Forth Annual Workshop on COLT, pp. 392–401, 1993.
    • (1993) Proceedings of the Forth Annual Workshop on COLT , pp. 392-401
    • Kearns, M.1
  • 16
    • 0001663135 scopus 로고
    • Learning Boolean Functions via the Fourier Transform
    • (V.P. Roychodhury and K-Y. Siu and A. Orlitsky, ed.)
    • Yishay Mansour. Learning Boolean Functions via the Fourier Transform. In Theoretical Advances in Neural Computation and Learning, (V.P. Roychodhury and K-Y. Siu and A. Orlitsky, ed.), 391–424, 1994.
    • (1994) Theoretical Advances in Neural Computation and Learning , pp. 391-424
    • Mansour, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.