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Volumn 48, Issue 2, 1994, Pages 311-323

Nonuniform learnability

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BOOLEAN FUNCTIONS; ERRORS; MATHEMATICAL MODELS; POLYNOMIALS; PROBABILITY; RECURSIVE FUNCTIONS; SET THEORY;

EID: 0028406575     PISSN: 00220000     EISSN: 10902724     Source Type: Journal    
DOI: 10.1016/S0022-0000(05)80005-4     Document Type: Article
Times cited : (9)

References (23)
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  • 3
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    • Fast probabilistic algorithms for Hamiltonian circuits and matchings
    • D. Angluin and L. G. Valiant, Fast probabilistic algorithms for Hamiltonian circuits and matchings, J. Comput. System Sci. 18 (1979), 155-193.
    • (1979) J. Comput. System Sci , vol.18 , pp. 155-193
    • Angluin, D.1    Valiant, L.G.2
  • 7
    • 0026414013 scopus 로고
    • Learnability by fixed distributions
    • preliminary version appeared in “COLT’88
    • G. M. Benedek and A. Itai, Learnability by fixed distributions, Theoret. Comput. Sci. 88 (1991), 377-389; preliminary version appeared in “COLT’88,” (1988).
    • (1988) Theoret. Comput. Sci , vol.88 , pp. 377-389
    • Benedek, G.M.1    Itai, A.2
  • 8
    • 0040649266 scopus 로고
    • Nonuniform learnability
    • “15th International Colloquium on Automata, Languages and Programming, (ICALP), Tampere, Finland, 1988, (T. Lepisto and A. Salomaa, Eds.), Springer-Verlag, New York/Berlin
    • G. M. Benedek and A. Itai, Nonuniform learnability, in “15th International Colloquium on Automata, Languages and Programming, (ICALP), Tampere, Finland, 1988,” Lecture Notes in Computer Science, Vol. 317 (T. Lepisto and A. Salomaa, Eds.), Springer-Verlag, New York/Berlin, 1988.
    • (1988) Lecture Notes in Computer Science , vol.317
    • Benedek, G.M.1    Itai, A.2
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    • Results on learnability and the Vapnik-Chervonenkis dimension
    • N. Lineal, Y. Mansour, and R. Rivest, Results on learnability and the Vapnik-Chervonenkis dimension, in “Proceedings, 29th FOCS,” pp. 120-129, (1988).
    • (1988) Proceedings, 29Th FOCS , pp. 120-129
    • Lineal, N.1    Mansour, Y.2    Rivest, R.3
  • 17
    • 0023604157 scopus 로고
    • On learning Boolean functions
    • Assoc Comput. Mach., New York
    • B. K. Natarajan, On learning Boolean functions, in “Proceedings, 19th Symp. Theory of Comput.,” pp. 296-304, Assoc Comput. Mach., New York, 1987.
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  • 18
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    • Computational Limitations on Learning from Examples
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  • 19
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    • On the uniform convergence of relative frequencies of events to their probabilities
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  • 22
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    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.