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Volumn 67, Issue 1, 2003, Pages 46-62

On parallel attribute-efficient learning

Author keywords

Auxiliary computation; Binary codes; Learning by queries; Limits of parallelization; Monotone Boolean functions; Randomization; Relevant variables; Special assignment families

Indexed keywords

BINARY CODES; BOOLEAN ALGEBRA; LEARNING SYSTEMS; PARALLEL PROCESSING SYSTEMS; QUERY LANGUAGES; THEOREM PROVING;

EID: 0042520915     PISSN: 00220000     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-0000(03)00047-3     Document Type: Article
Times cited : (14)

References (20)
  • 2
    • 0030117450 scopus 로고    scopus 로고
    • Optimal pooling designs with error detection
    • D.J. Balding, D.C. Torney, Optimal pooling designs with error detection, J. Combin. Theory A 74 (1996) 131-140.
    • (1996) J. Combin. Theory A , vol.74 , pp. 131-140
    • Balding, D.J.1    Torney, D.C.2
  • 3
    • 0029254047 scopus 로고
    • Learning in the presence of finitely or infinitely many irrelevant attributes
    • A. Blum, L. Hellerstein, N. Littlestone, Learning in the presence of finitely or infinitely many irrelevant attributes, J. Comput. System Sci. 50 (1995) 32-40.
    • (1995) J. Comput. System Sci. , vol.50 , pp. 32-40
    • Blum, A.1    Hellerstein, L.2    Littlestone, N.3
  • 5
    • 0042941302 scopus 로고    scopus 로고
    • Randomized group testing for mutually obscuring defectives
    • P. Damaschke, Randomized group testing for mutually obscuring defectives, Inform. Process. Lett. 67 (1998) 131-135.
    • (1998) Inform. Process. Lett. , vol.67 , pp. 131-135
    • Damaschke, P.1
  • 6
    • 0034320770 scopus 로고    scopus 로고
    • Adaptive versus nonadaptive attribute-efficient learning
    • P. Damaschke, Adaptive versus nonadaptive attribute-efficient learning, Mach. Learning 41 (2000) 197-215.
    • (2000) Mach. Learning , vol.41 , pp. 197-215
    • Damaschke, P.1
  • 8
    • 0032120173 scopus 로고    scopus 로고
    • Improved algorithms for group testing with inhibitors
    • A. De Bonis, U. Vaccaro, Improved algorithms for group testing with inhibitors, Inform. Process. Lett. 67 (1998) 57-64.
    • (1998) Inform. Process. Lett. , vol.67 , pp. 57-64
    • De Bonis, A.1    Vaccaro, U.2
  • 11
    • 0042138822 scopus 로고    scopus 로고
    • On the cut-off point for combinatorial group testing
    • P. Fischer, N. Klasner, I. Wegener, On the cut-off point for combinatorial group testing, Discrete Appl. Math. 91 (1999) 83-92.
    • (1999) Discrete Appl. Math. , vol.91 , pp. 83-92
    • Fischer, P.1    Klasner, N.2    Wegener, I.3
  • 12
    • 84947808532 scopus 로고    scopus 로고
    • An application of codes to attribute-efficient learning
    • Fifth European Conference on Computational Learning Theory EuroCOLT'99, Springer-Verlag, Berlin
    • T. Hofmeister, An application of codes to attribute-efficient learning, Fifth European Conference on Computational Learning Theory EuroCOLT'99, Lecture Notes in Artificial Intelligence, Vol. 1572, Springer-Verlag, Berlin, 1999, pp. 101-110.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1572 , pp. 101-110
    • Hofmeister, T.1
  • 14
    • 49149091030 scopus 로고    scopus 로고
    • Lower bounds for identifying subset members with subset queries
    • Assoc. Comput. Mach. Press, New York
    • E. Knill, Lower bounds for identifying subset members with subset queries, Sixth ACM-SIAM Symposium on Discrete Algorithms SODA'95, Assoc. Comput. Mach. Press, New York, pp. 369-377.
    • Sixth ACM-SIAM Symposium on Discrete Algorithms SODA'95 , pp. 369-377
    • Knill, E.1
  • 15
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone, Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm, Mach. Learning 2 (1988) 285-318.
    • (1988) Mach. Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 16
    • 33749932775 scopus 로고
    • Binary codes with specified minimum distances
    • M. Plotkin, Binary codes with specified minimum distances, IEEE Trans. Inform. Theory 6 (1960) 445-450.
    • (1960) IEEE Trans. Inform. Theory , vol.6 , pp. 445-450
    • Plotkin, M.1
  • 17
    • 0034140159 scopus 로고    scopus 로고
    • Computational sample complexity and attribute-efficient learning
    • R.A. Servedio, Computational sample complexity and attribute-efficient learning, J. Comput. System Sci. 60 (2000) 161-178.
    • (2000) J. Comput. System Sci. , vol.60 , pp. 161-178
    • Servedio, R.A.1
  • 18
    • 0005388418 scopus 로고    scopus 로고
    • Classical versus quantum communication complexity
    • A. Ta-Shma, Classical versus quantum communication complexity, SIGACT News 30 (3) (1999) 25-34.
    • (1999) SIGACT News , vol.30 , Issue.3 , pp. 25-34
    • Ta-Shma, A.1
  • 19
    • 84949214707 scopus 로고    scopus 로고
    • Optimal attribute-efficient learning of disjunction, parity, and threshold functions
    • Third European Conference on Computational Learning Theory EuroCOLT'97, Springer-Verlag, Berlin
    • R. Uehara, K. Tsuchida, I. Wegener, Optimal attribute-efficient learning of disjunction, parity, and threshold functions, Third European Conference on Computational Learning Theory EuroCOLT'97, Lecture Notes in Artificial Intelligence, Vol. 1208, Springer-Verlag, Berlin, pp. 171-184.
    • Lecture Notes in Artificial Intelligence , vol.1208 , pp. 171-184
    • Uehara, R.1    Tsuchida, K.2    Wegener, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.