![Computational learning theory / Machine learning / Learning / Mathematics / Cognition / Statistical classification / Empirical process / VC dimension / Probability distribution / Artificial neural network / NIP / Uniform convergence Computational learning theory / Machine learning / Learning / Mathematics / Cognition / Statistical classification / Empirical process / VC dimension / Probability distribution / Artificial neural network / NIP / Uniform convergence](https://www.pdfsearch.io/img/cd853548cbf78d155c24efc3923d6bcc.jpg) Date: 2012-12-26 05:25:09Computational learning theory Machine learning Learning Mathematics Cognition Statistical classification Empirical process VC dimension Probability distribution Artificial neural network NIP Uniform convergence | | REVlEW The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning Yaser S. Abu-Mostafa California Institute of Terhnohgy, Pasadcna, CAUSAAdd to Reading ListSource URL: authors.library.caltech.eduDownload Document from Source Website File Size: 305,96 KBShare Document on Facebook
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