Introduction to Statistical Learning Theory

Introduction to Statistical Learning Theory (2004)

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by Olivier Bousquet , Stéphane Boucheron , Gábor Lugosi

Venue:	In , O. Bousquet, U.v. Luxburg, and G. Rsch (Editors
Citations:	30 - 1 self

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@INPROCEEDINGS{Bousquet04introductionto,
    author = {Olivier Bousquet and Stéphane Boucheron and Gábor Lugosi},
    title = {Introduction to Statistical Learning Theory},
    booktitle = {In , O. Bousquet, U.v. Luxburg, and G. Rsch (Editors},
    year = {2004},
    pages = {169--207},
    publisher = {Springer}
}

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Citations

6696	The Nature of Statistical Learning Theory - Vapnik - 1995
3341	Pattern Classification and Scene Analysis - Duda, Hart - 1973
3143	Classification and Regression Trees - Breiman, Friedman, et al. - 1984
2107	Introduction to statistical pattern recognition - Fukunaga - 1990
1128	Probability inequalities for sums of bounded random variables - Hoeffding - 1963
816	On the uniform convergence of relative frequencies of events to their probabilities. Theory of Prob. and its - Vapnik, Chervonenkis - 1971
801	A probabilistic theory of pattern recognition - Devroye, Györfi, et al. - 1996
688	Estimation of dependencies based on empirical data - Vapnik - 1982
565	Learnability and the Vapnik Chervonenkis dimension - Blumer, Ehrenfeucht, et al. - 1989
507	An Introduction to Computational Learning Theory - Kearns, Vazirani - 1994
319	On the method of bounded differences - McDiarmid - 1989
286	Discriminant Analysis and Statistical Pattern Recognition - McLachlan - 2004
255	PL: Neural Network Learning: Theoretical Foundations - Anthony, Bartlett - 1999
239	Weak Convergence and Empirical Processes - VAART, A - 1996
207	Probability in Banach spaces - Ledoux, Talagrand - 1991
205	On the density of families of sets - Sauer - 1972
180	A General Lower Bound on the Number of Examples Needed - Ehrenfeucht, Haussler, et al. - 1989
175	Scale-sensitive dimensions, uniform convergence, and learnability - Alon, Ben-David, et al. - 1997
116	Machine Learning: A Theoretical Approach - Natarajan - 1991
110	Central limit theorems for empirical measures - Dudley - 1979
88	Uniform Central Limit Theorems - Dudley - 1999
84	Sphere packing numbers for subsets of the boolean n−cube with bounded VapnikChervonenkis dimension - Haussler - 1995
82	A combinatorial problem; stability and order for models and theories in infinitary languages - Shelah - 1972
72	Theory of Pattern Recognition - Vapnik, Chervonenkis - 1974
41	A few notes on statistical learning theory - Mendelson - 2003
26	On the trace of finite sets - Frankl - 1983
16	Pattern classification and learning theory - Lugosi - 2002
15	A compression approach to support vector model selection - Luxburg, Bousquet, et al. - 2002
10	Learning pattern classification—A survey - Kulkarni, Lugosi, et al. - 1998
6	A remark on the Szarek-Talagrand theorem - Alesker - 1997
6	Empirical processes and applications: An overview - Giné - 1996
4	A graph-theoretic generalization of the Sauer-Shelah lemma - Cesa-Bianchi, Haussler - 1998
4	On the convexified Sauer-Shelah theorem - Szarek, Talagrand - 1997
3	A Course on Empirical Processes, École de Probabilités de St. Flour - Dudley - 1982