메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 584-593

Learning a circuit by injecting values

Author keywords

Circuit; Gene regulatory network; Learning

Indexed keywords

BOOLEAN ALGEBRA; ELECTRIC WIRE; LEARNING SYSTEMS; MATHEMATICAL MODELS; POLYNOMIALS; SET THEORY;

EID: 33748104704     PISSN: 07378017     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1132516.1132600     Document Type: Conference Paper
Times cited : (8)

References (15)
  • 1
    • 0032277733 scopus 로고    scopus 로고
    • Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions
    • Philadelphia, PA, USA. Society for Industrial and Applied Mathematics
    • T. Akutsu, S. Kuhara, O. Maruyama, and S. Miyano. Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions. In SODA '98: Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, pages 695-702, Philadelphia, PA, USA, 1998. Society for Industrial and Applied Mathematics.
    • (1998) SODA '98: Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms , pp. 695-702
    • Akutsu, T.1    Kuhara, S.2    Maruyama, O.3    Miyano, S.4
  • 2
    • 0000452640 scopus 로고
    • Learning conjunctions of Horn clauses
    • D. Angluin, M. Frazier, and L. Pitt. Learning conjunctions of Horn clauses. Machine Learning, 9:147-164, 1992.
    • (1992) Machine Learning , vol.9 , pp. 147-164
    • Angluin, D.1    Frazier, M.2    Pitt, L.3
  • 3
    • 0027341861 scopus 로고
    • Learning read-once formulas with queries
    • D. Angluin, L. Hellerstein, and M. Karpinski. Learning read-once formulas with queries. J. ACM, 40:185-210, 1993.
    • (1993) J. ACM , vol.40 , pp. 185-210
    • Angluin, D.1    Hellerstein, L.2    Karpinski, M.3
  • 4
    • 0029293093 scopus 로고
    • When won't membership queries help?
    • D. Angluin and M. Kharitonov. When won't membership queries help? J. Comput. Syst. Sci., 50(2):336-355, 1995.
    • (1995) J. Comput. Syst. Sci. , vol.50 , Issue.2 , pp. 336-355
    • Angluin, D.1    Kharitonov, M.2
  • 5
    • 58149319164 scopus 로고
    • Exact learning boolean functions via the monotone theory
    • N. H. Bshouty. Exact learning boolean functions via the monotone theory. Inf. Comput., 123(1):146-153, 1995.
    • (1995) Inf. Comput. , vol.123 , Issue.1 , pp. 146-153
    • Bshouty, N.H.1
  • 7
    • 0033642067 scopus 로고    scopus 로고
    • Discovery of regulatory interactions through perturbation: Inference and experimental design
    • T. Ideker, V. Thorsson, and R. Karp. Discovery of regulatory interactions through perturbation: Inference and experimental design. In Pacific Symposium on Biocomputing 5, pages 302-313, 2000.
    • (2000) Pacific Symposium on Biocomputing , vol.5 , pp. 302-313
    • Ideker, T.1    Thorsson, V.2    Karp, R.3
  • 8
    • 0031339159 scopus 로고    scopus 로고
    • An efficient membership-query algorithm for learning DNF with respect to the uniform distribution
    • J. C. Jackson. An efficient membership-query algorithm for learning DNF with respect to the uniform distribution. J. Comput. Syst. Sci., 55(3):414-440, 1997.
    • (1997) J. Comput. Syst. Sci. , vol.55 , Issue.3 , pp. 414-440
    • Jackson, J.C.1
  • 10
    • 0028324717 scopus 로고
    • Cryptographic limitations on learning boolean formulae and finite automata
    • M. Kearns and L. Valiant. Cryptographic limitations on learning boolean formulae and finite automata. J. ACM, 41(1):67-95, 1994.
    • (1994) J. ACM , vol.41 , Issue.1 , pp. 67-95
    • Kearns, M.1    Valiant, L.2
  • 12
    • 0027627287 scopus 로고
    • Constant depth circuits, Fourier transform, and learnability
    • N. Linial, Y. Mansour, and N. Nisan. Constant depth circuits, Fourier transform, and learnability. Journal of the ACM, 40(3):607-620, 1993.
    • (1993) Journal of the ACM , vol.40 , Issue.3 , pp. 607-620
    • Linial, N.1    Mansour, Y.2    Nisan, N.3
  • 13
    • 0025152620 scopus 로고
    • Small-bias probability spaces: Efficient constructions and applications
    • J. Naor and M. Naor. Small-bias probability spaces: Efficient constructions and applications. In ACM Symposium on Theory of Computing, pages 213-223, 1990.
    • (1990) ACM Symposium on Theory of Computing , pp. 213-223
    • Naor, J.1    Naor, M.2
  • 14
    • 0024001235 scopus 로고
    • Vector sets for exhaustive testings of logic circuits
    • May
    • G. Seroussi and N. H. Bshouty. Vector sets for exhaustive testings of logic circuits. In IEEE Transactions on Information Theory, volume 34, pages 513-522, May 1988.
    • (1988) IEEE Transactions on Information Theory , vol.34 , pp. 513-522
    • Seroussi, G.1    Bshouty, N.H.2
  • 15
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. G. Valiant. A theory of the learnable. Commun. ACM, 27:1134-1142, 1984.
    • (1984) Commun. ACM , vol.27 , pp. 1134-1142
    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.