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Volumn , Issue , 2006, Pages 563-572

New results for learning noisy parities and halfspaces

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION NOISE; COMPUTATIONAL LEARNING; HALFSPACES; UNIFORM DISTRIBUTION;

EID: 34547698378     PISSN: 02725428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FOCS.2006.51     Document Type: Conference Paper
Times cited : (155)

References (38)
  • 1
    • 0030679849 scopus 로고    scopus 로고
    • th ACM Symp. on Theory of Computing, pages 284-293, 1997.
    • th ACM Symp. on Theory of Computing, pages 284-293, 1997.
  • 2
    • 17744398476 scopus 로고    scopus 로고
    • th IEEE Symp. on Foundations of Computer Science, 2004.
    • th IEEE Symp. on Foundations of Computer Science, 2004.
  • 3
    • 0031119485 scopus 로고    scopus 로고
    • The hardness of approximate optima in lattices, codes and systems of linear equations
    • S. Arora, L. Babai, J. Stern, and E. Sweedyk. The hardness of approximate optima in lattices, codes and systems of linear equations. Journal of Computer and System Sciences, 54:317-331, 1997.
    • (1997) Journal of Computer and System Sciences , vol.54 , pp. 317-331
    • Arora, S.1    Babai, L.2    Stern, J.3    Sweedyk, E.4
  • 4
    • 0030387103 scopus 로고    scopus 로고
    • th IEEE Symp. on Foundations of Computer Science, pages 330-338, 1996.
    • th IEEE Symp. on Foundations of Computer Science, pages 330-338, 1996.
  • 5
    • 24144453496 scopus 로고    scopus 로고
    • Noise-tolerant learning, the parity problem, and the statistical query model
    • A. Blum, A. Kalai, and H. Wasserman. Noise-tolerant learning, the parity problem, and the statistical query model. Journal of the ACM, 50(4):506-519, 2003.
    • (2003) Journal of the ACM , vol.50 , Issue.4 , pp. 506-519
    • Blum, A.1    Kalai, A.2    Wasserman, H.3
  • 6
    • 0031121882 scopus 로고    scopus 로고
    • Learning an intersection of a constant number of halfspaces over a uniform distribution
    • A. Blum and R. Kannan. Learning an intersection of a constant number of halfspaces over a uniform distribution. Journal of Computer and System Sciences, 54(2):371-380, 1997.
    • (1997) Journal of Computer and System Sciences , vol.54 , Issue.2 , pp. 371-380
    • Blum, A.1    Kannan, R.2
  • 7
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • A. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1-2):245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 8
    • 4544368467 scopus 로고    scopus 로고
    • th International Conference on Algorithmic Learning Theory, pages 83-97, 2002.
    • th International Conference on Algorithmic Learning Theory, pages 83-97, 2002.
  • 9
    • 0037708179 scopus 로고    scopus 로고
    • On using extended statistical queries to avoid membership queries
    • N. Bshouty and V. Feldman. On using extended statistical queries to avoid membership queries. Journal of Machine Learning Research, 2:359-395, 2002.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 359-395
    • Bshouty, N.1    Feldman, V.2
  • 10
    • 38749141196 scopus 로고    scopus 로고
    • On Attribute Efficient and Non-adaptive Learning of Parities and DNF Expressions
    • 066, preliminary version in COLT '05
    • V. Feldman. On Attribute Efficient and Non-adaptive Learning of Parities and DNF Expressions. Electronic Colloquium on Computational Complexity (ECCC), (066), 2006. (preliminary version in COLT '05).
    • (2006) Electronic Colloquium on Computational Complexity (ECCC)
    • Feldman, V.1
  • 12
    • 85043515682 scopus 로고    scopus 로고
    • rd Annual Workshop on Computational Learning Theory, pages 202-216, 1990.
    • rd Annual Workshop on Computational Learning Theory, pages 202-216, 1990.
  • 13
    • 0026977019 scopus 로고    scopus 로고
    • th Annual Workshop on Computational Learning Theory, pages 391-398, 1992.
    • th Annual Workshop on Computational Learning Theory, pages 391-398, 1992.
  • 14
    • 84958598719 scopus 로고    scopus 로고
    • th Annual International Cryptology Conference on Advances in Cryptology, pages 105-111, London, UK, 1997. Springer-Verlag.
    • th Annual International Cryptology Conference on Advances in Cryptology, pages 105-111, London, UK, 1997. Springer-Verlag.
  • 15
    • 0024868772 scopus 로고    scopus 로고
    • st ACM Symp. on Theory of Computing, pages 25-32, 1989.
    • st ACM Symp. on Theory of Computing, pages 25-32, 1989.
  • 16
    • 35448964255 scopus 로고    scopus 로고
    • th IEEE Symp. on Foundations of Computer Science, 2006.
    • th IEEE Symp. on Foundations of Computer Science, 2006.
  • 18
    • 0030671781 scopus 로고    scopus 로고
    • th ACM Symp. Theory of Computing, pages 1-10, 1997. El Paso, Texas, 4-6 May 1997.
    • th ACM Symp. Theory of Computing, pages 1-10, 1997. El Paso, Texas, 4-6 May 1997.
  • 19
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • D.Haussler. Decision theoretic generalizations of the PAC model for neural net and other learning applications. Information and Computation, 100(1):78-150, 1992.
    • (1992) Information and Computation , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 20
    • 0031339159 scopus 로고    scopus 로고
    • An efficient membership-query algorithm for learning DNF with respect to the uniform distribution
    • J. Jackson. An efficient membership-query algorithm for learning DNF with respect to the uniform distribution. Journal of Computer and System Sciences, 55:414-440, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 414-440
    • Jackson, J.1
  • 21
    • 33746082261 scopus 로고    scopus 로고
    • th IEEE Symp. on Foundations of Computer Science, pages 11-20, 2005.
    • th IEEE Symp. on Foundations of Computer Science, pages 11-20, 2005.
  • 22
    • 0027640858 scopus 로고
    • Learning in the presence of malicious errors
    • M. Kearns and M. Li. Learning in the presence of malicious errors. SIAM Journal on Computing, 22(4):807-837, 1993.
    • (1993) SIAM Journal on Computing , vol.22 , Issue.4 , pp. 807-837
    • Kearns, M.1    Li, M.2
  • 23
    • 0001553979 scopus 로고
    • Toward efficient agnostic learning
    • M. Kearns, R. Schapire, and L. Sellie. Toward efficient agnostic learning. Machine Learning, 17(2/3): 115-142, 1994.
    • (1994) Machine Learning , vol.17 , Issue.2-3 , pp. 115-142
    • Kearns, M.1    Schapire, R.2    Sellie, L.3
  • 24
    • 0024863228 scopus 로고    scopus 로고
    • st ACM Symp. on Theory of Computing, pages 433-444, 1989.
    • st ACM Symp. on Theory of Computing, pages 433-444, 1989.
  • 26
    • 0029326211 scopus 로고
    • Cryptographic lower bounds for learnability of Boolean functions on the uniform distribution
    • M. Kharitonov. Cryptographic lower bounds for learnability of Boolean functions on the uniform distribution. Journal of Computer and System Sciences, 50(3):600-610, 1995.
    • (1995) Journal of Computer and System Sciences , vol.50 , Issue.3 , pp. 600-610
    • Kharitonov, M.1
  • 27
    • 33746347703 scopus 로고    scopus 로고
    • rd International Colloquium on Automata, Languages and Programming, pages 226-237, 2006.
    • rd International Colloquium on Automata, Languages and Programming, pages 226-237, 2006.
  • 28
    • 0036957227 scopus 로고    scopus 로고
    • rd IEEE Symp. on Foundations of Computer Science, pages 177-186, 2002.
    • rd IEEE Symp. on Foundations of Computer Science, pages 177-186, 2002.
  • 29
    • 0034825853 scopus 로고    scopus 로고
    • rd ACM Symp. on Theory of Computing, pages 258-265, 2001.
    • rd ACM Symp. on Theory of Computing, pages 258-265, 2001.
  • 30
    • 0038290332 scopus 로고    scopus 로고
    • Boosting and hard-core set construction
    • A. Klivans and R. Servedio. Boosting and hard-core set construction. Machine Learning, 51(3):217-238, 2003.
    • (2003) Machine Learning , vol.51 , Issue.3 , pp. 217-238
    • Klivans, A.1    Servedio, R.2
  • 31
    • 35348921036 scopus 로고    scopus 로고
    • th IEEE Symp. on Foundations of Computer Science, 2006.
    • th IEEE Symp. on Foundations of Computer Science, 2006.
  • 32
    • 38749097208 scopus 로고    scopus 로고
    • th Annual Conference on Learning Theory, 2006.
    • th Annual Conference on Learning Theory, 2006.
  • 33
    • 85006528164 scopus 로고    scopus 로고
    • rd; ACM Symp. Theory of Computing, pages 455-464, 1991.
    • rd; ACM Symp. Theory of Computing, pages 455-464, 1991.
  • 34
    • 0042496106 scopus 로고
    • Randomness and non-determinism
    • L. Levin. Randomness and non-determinism. Journal of Symbolic Logic, 58(3):1102-1103, 1993.
    • (1993) Journal of Symbolic Logic , vol.58 , Issue.3 , pp. 1102-1103
    • Levin, L.1
  • 35
    • 0038784670 scopus 로고    scopus 로고
    • th ACM Symp. on Theory of Computing, 2003.
    • th ACM Symp. on Theory of Computing, 2003.
  • 36
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. Valiant. A theory of the learnable. Communications of the ACM, 27(11):1134-1142, 1984.
    • (1984) Communications of the ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant, L.1
  • 37
    • 38749115609 scopus 로고    scopus 로고
    • th International Joint Conference on Artificial Intelligence, pages 560-566, 1985.
    • th International Joint Conference on Artificial Intelligence, pages 560-566, 1985.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.