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Volumn 2005, Issue , 2005, Pages 11-20

Agnostically learning halfspaces

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSARIAL NOISE; AGNOSTIC FRAMEWORK; HALFSPACES; NOISE TOLERANT ARBITRARY DISTRIBUTION;

EID: 33746082261     PISSN: 02725428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SFCS.2005.13     Document Type: Conference Paper
Times cited : (83)

References (31)
  • 1
    • 0000750020 scopus 로고
    • The Perceptron algorithm is fast for nonmalicious distributions
    • E. Baum. The Perceptron algorithm is fast for nonmalicious distributions. Neural Computation, 2:248-260, 1990.
    • (1990) Neural Computation , vol.2 , pp. 248-260
    • Baum, E.1
  • 2
    • 0003862690 scopus 로고
    • The transition to perfect generalization in perceptions
    • E. B. Baum and Y.-D. Lyuu. The transition to perfect generalization in perceptions. Neural Computation, 3:386-401, 1991.
    • (1991) Neural Computation , vol.3 , pp. 386-401
    • Baum, E.B.1    Lyuu, Y.-D.2
  • 3
    • 84872149621 scopus 로고    scopus 로고
    • Machine learning: A tour through some favorite results, directions, and open problems
    • A. Blum. Machine learning: a tour through some favorite results, directions, and open problems. FOCS 2003 tutorial slides, available at http://www-2.cs.cmu.edu/~avrim/Talks/FOCS03/tutorial.ppt, 2003.
    • (2003) FOCS 2003 Tutorial Slides
    • Blum, A.1
  • 4
    • 0001926474 scopus 로고    scopus 로고
    • A polynomial time algorithm for learning noisy linear threshold functions
    • A. Blum, A. Frieze, R. Kannan, and S. Vempala. A polynomial time algorithm for learning noisy linear threshold functions. Algorithmica, 22(1/2):35-52, 1997.
    • (1997) Algorithmica , vol.22 , Issue.1-2 , pp. 35-52
    • Blum, A.1    Frieze, A.2    Kannan, R.3    Vempala, S.4
  • 5
    • 38249017227 scopus 로고
    • Estimates of the hermite and the freud polynomials
    • S. Bonan and D. Clark. Estimates of the hermite and the freud polynomials. Journal of Approximation Theory, 63:210-224, 1990.
    • (1990) Journal of Approximation Theory , vol.63 , pp. 210-224
    • Bonan, S.1    Clark, D.2
  • 6
    • 0030197679 scopus 로고    scopus 로고
    • On the Fourier spectrum of monotone functions
    • N. Bshouty and C. Tamon. On the Fourier spectrum of monotone functions. Journal of the ACM, 43(4):747-770, 1996.
    • (1996) Journal of the ACM , vol.43 , Issue.4 , pp. 747-770
    • Bshouty, N.1    Tamon, C.2
  • 9
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 13
  • 14
    • 0032202014 scopus 로고    scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • M. Kearns. Efficient noise-tolerant learning from statistical queries. Journal of the ACM, 45(6):983-1006, 1998.
    • (1998) Journal of the ACM , vol.45 , Issue.6 , pp. 983-1006
    • Kearns, M.1
  • 15
    • 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
  • 16
    • 0001553979 scopus 로고
    • Toward efficient agnostic learning
    • M. Kearns, R. Schapire, and L. Sellie. Toward Efficient Agnostic Learning. Machine Learning, 17(2/3):115-141, 1994.
    • (1994) Machine Learning , vol.17 , Issue.2-3 , pp. 115-141
    • Kearns, M.1    Schapire, R.2    Sellie, L.3
  • 18
    • 0001556720 scopus 로고    scopus 로고
    • Efficient agnostic learning of neural networks with bounded fan-in
    • W. Lee, P. Bartlett, and R. Williamson. Efficient agnostic learning of neural networks with bounded fan-in. IEEE Transactions on Information Theory, 42(6):2118-2132, 1996.
    • (1996) IEEE Transactions on Information Theory , vol.42 , Issue.6 , pp. 2118-2132
    • Lee, W.1    Bartlett, P.2    Williamson, R.3
  • 20
    • 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
  • 21
    • 0029403808 scopus 로고
    • On the sample complexity of PAC learning half-spaces against the uniform distribution
    • P. Long. On the sample complexity of PAC learning half-spaces against the uniform distribution. IEEE Transactions on Neural Networks, 6(6):1556-1559, 1995.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.6 , pp. 1556-1559
    • Long, P.1
  • 22
    • 0042092042 scopus 로고    scopus 로고
    • An upper bound on the sample complexity of pac learning halfspaces with respect to the uniform distribution
    • P. Long. An upper bound on the sample complexity of pac learning halfspaces with respect to the uniform distribution. Information Processing Letters, 87(5):229-234, 2003.
    • (2003) Information Processing Letters , vol.87 , Issue.5 , pp. 229-234
    • Long, P.1
  • 23
    • 0041763189 scopus 로고    scopus 로고
    • Learning conjunctions with noise under product distributions
    • Y. Mansour and M. Parnas. Learning conjunctions with noise under product distributions. Information Processing Letters, 68(4):189-196, 1998.
    • (1998) Information Processing Letters , vol.68 , Issue.4 , pp. 189-196
    • Mansour, Y.1    Parnas, M.2
  • 26
    • 0026993996 scopus 로고
    • On the degree of polynomials that approximate symmetric Boolean functions
    • R. Paturi. On the degree of polynomials that approximate symmetric Boolean functions. In Proceedings of the 24th Symposium on Theory of Computing, pages 468-474, 1992.
    • (1992) Proceedings of the 24th Symposium on Theory of Computing , pp. 468-474
    • Paturi, R.1
  • 29
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.