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Vapnik–Chervonenkis theory
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#	Item
1	ECE 901 Lecture 18: Introduction to Vapnik-Chervonenkis (VC) Theory R. NowakIn our past lectures we have derived a number of generalization bounds, but all these had one thing in common: they required the clas Add to Reading List Source URL: nowak.ece.wisc.edu Language: English - Date: 2012-03-09 07:34:15
2	REVlEW The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning Yaser S. Abu-Mostafa California Institute of Terhnohgy, Pasadcna, CAUSA Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 05:25:09 Computational learning theory Machine learning Learning Mathematics Cognition Statistical classification Empirical process VC dimension Probability distribution Artificial neural network NIP Uniform convergence
3	Statistical Machine Learning UoC Stats 37700, Winter quarter Lecture 5: statistical learning theory II: Vapnik-Chervonenkis theory. Add to Reading List Source URL: users.math.uni-potsdam.de Language: English
4	On 21 September 2014, Alexej Chervonenkis went for a walk in a park on the outskirts of Moscow and got lost. He called his wife in the evening, and last talked to her around midnight, saying that he would try to sleep a Add to Reading List Source URL: people.tuebingen.mpg.de Language: English - Date: 2014-12-08 17:26:37 Computational learning theory Empirical process Year of birth missing Machine learning Alexey Chervonenkis Statistical classification Vladimir Vapnik Support vector machine Glivenko–Cantelli theorem Statistics Mathematics Mathematical sciences
5	video demo End-User Web Scraping: Google Scholar Edition Sarah Chasins Add to Reading List Source URL: www.icir.org Language: English - Date: 2014-12-10 15:02:23 Computational learning theory Year of birth missing Statistical classification Theoretical computer science Vladimir Vapnik Support vector machine Vapnik–Chervonenkis theory Structural risk minimization Machine learning Statistics Artificial intelligence
6	25.3 n&v MH[removed]:59 pm Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2004-03-30 15:25:42 Stability Computational learning theory Supervised learning Empirical risk minimization Vapnik–Chervonenkis theory Leave one out error Machine learning Learning Artificial intelligence
7	Uniform convergence of Vapnik…Chervonenkis classes under ergodic sampling Add to Reading List Source URL: comptox.unc.edu Language: English - Date: 2011-04-26 19:48:00 Probability theory Ergodic theory Stochastic processes Glivenko–Cantelli theorem Borel set Uniform convergence Ergodicity Mixing VC dimension Statistics Mathematics Mathematical analysis
8	Supervised learning for computer vision: Theory and algorithms - Introduction Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 16:24:31 Supervised learning Kernel methods Regularization Vapnik–Chervonenkis theory Stability Machine learning Statistics Artificial intelligence