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The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network.

. IEEE Trans. Inf. Theory, 44 (2): 525-536 (1998)

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Linear Programming for Large-Scale Markov Decision Problems., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 496-504. JMLR.org, (2014)Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families., , , , and . COLT, volume 30 of JMLR Workshop and Conference Proceedings, page 639-661. JMLR.org, (2013)Improved Learning Complexity in Combinatorial Pure Exploration Bandits., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1004-1012. JMLR.org, (2016)The Rademacher Complexity of Co-Regularized Kernel Classes., and . AISTATS, volume 2 of JMLR Proceedings, page 396-403. JMLR.org, (2007)Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing., , , , and . CoRR, (2019)Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees., , and . CoRR, (2019)Optimal Online Prediction in Adversarial Environments.. Discovery Science, volume 6332 of Lecture Notes in Computer Science, page 371. Springer, (2010)Function Learning From Interpolation., and . Comb. Probab. Comput., 9 (3): 213-225 (2000)Multiview point cloud kernels for semisupervised learning Lecture Notes., , , and . IEEE Signal Process. Mag., 26 (5): 145-150 (2009)Covering Numbers for Support Vector Machines., , , and . COLT, page 267-277. ACM, (1999)