PAC learning with nasty noise
暂无分享,去创建一个
[1] R. Schapire,et al. Toward efficient agnostic learning , 1992, COLT '92.
[2] Nicolò Cesa-Bianchi,et al. Sample-efficient strategies for learning in the presence of noise , 1999, JACM.
[3] Shai Ben-David,et al. Combinatorial Variability of Vapnik-chervonenkis Classes with Applications to Sample Compression Schemes , 1998, Discret. Appl. Math..
[4] Nader H. Bshouty,et al. A new composition theorem for learning algorithms , 1998, STOC '98.
[5] Scott E. Decatur. PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction , 1997, ICML.
[6] Shai Ben-David,et al. A composition theorem for learning algorithms with applications to geometric concept classes , 1997, STOC '97.
[7] Nicolò Cesa-Bianchi,et al. Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with Noise , 1997, EuroCOLT.
[8] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[9] Hans Ulrich Simon,et al. Noise-tolerant learning near the information-theoretic bound , 1996, STOC '96.
[10] Subhash Suri,et al. Noise-tolerant distribution-free learning of general geometric concepts , 1996, STOC '96.
[11] Rosario Gennaro,et al. On learning from noisy and incomplete examples , 1995, COLT '95.
[12] Donna K. Slonim,et al. Learning with unreliable boundary queries , 1995, COLT '95.
[13] Scott E. Decatur. Learning in Hybrid Noise Environments Using Statistical Queries , 1995, AISTATS.
[14] Yishay Mansour,et al. Weakly learning DNF and characterizing statistical query learning using Fourier analysis , 1994, STOC '94.
[15] N. Fisher,et al. Probability Inequalities for Sums of Bounded Random Variables , 1994 .
[16] M. Talagrand. Sharper Bounds for Gaussian and Empirical Processes , 1994 .
[17] Javed A. Aslam,et al. General bounds on statistical query learning and PAC learning with noise via hypothesis boosting , 1993, Proceedings of 1993 IEEE 34th Annual Foundations of Computer Science.
[18] Michael Kearns,et al. Efficient noise-tolerant learning from statistical queries , 1993, STOC.
[19] Robert E. Schapire,et al. Design and analysis of efficient learning algorithms , 1992, ACM Doctoral dissertation award ; 1991.
[20] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[21] Ming Li,et al. Learning in the presence of malicious errors , 1993, STOC '88.
[22] Leslie G. Valiant,et al. Learning Disjunction of Conjunctions , 1985, IJCAI.
[23] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[24] Norbert Sauer,et al. On the Density of Families of Sets , 1972, J. Comb. Theory, Ser. A.
[25] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[26] S. M. Samuels,et al. Monotone Convergence of Binomial Probabilities and a Generalization of Ramanujan's Equation , 1968 .