Sample-efficient strategies for learning in the presence of noise
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Nicolò Cesa-Bianchi | Hans Ulrich Simon | Eli Shamir | Paul Fischer | Eli Dichterman | Nicolò Cesa-Bianchi | N. Cesa-Bianchi | E. Shamir | H. Simon | Eli Dichterman | P. Fischer | Paul Fischer | Eli Shamir | Hans Ulrich Simon
[1] R. R. Bahadur. Some Approximations to the Binomial Distribution Function , 1960 .
[2] R. R. Bahadur,et al. On Deviations of the Sample Mean , 1960 .
[3] Michel Loève,et al. Probability Theory I , 1977 .
[4] S. M. Samuels,et al. Monotone Convergence of Binomial Probabilities and a Generalization of Ramanujan's Equation , 1968 .
[5] J. Littlewood. On the probability in the tail of a binomial distribution , 1969, Advances in Applied Probability.
[6] Norbert Sauer,et al. On the Density of Families of Sets , 1972, J. Comb. Theory, Ser. A.
[7] S. Shelah. A combinatorial problem; stability and order for models and theories in infinitary languages. , 1972 .
[8] Vladimir Vapnik,et al. Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics) , 1982 .
[9] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[10] Ming Li,et al. Learning in the presence of malicious errors , 1993, STOC '88.
[11] P. Laird. Learning from Good and Bad Data , 1988 .
[12] Leslie G. Valiant,et al. A general lower bound on the number of examples needed for learning , 1988, COLT '88.
[13] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[14] R. Schapire. Toward Eecient Agnostic Learning , 1992 .
[15] Linda Sellie,et al. Toward efficient agnostic learning , 1992, COLT '92.
[16] Robert E. Schapire,et al. Efficient Distribution-Free Learning of Probabilistic , 1994 .
[17] R. Schapire,et al. Toward Efficient Agnostic Learning , 1994 .
[18] Hans Ulrich Simon,et al. General bounds on the number of examples needed for learning probabilistic concepts , 1993, COLT '93.
[19] Claudio Gentile,et al. Improved lower bounds for learning from noisy examples: an information-theoretic approach , 1998, COLT' 98.