Learning Theory and Kernel Machines - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540407201, 9783540451679

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Robust Regression by Boosting the Median

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_20 ◽

2003 ◽

pp. 258-272 ◽

Cited By ~ 12

Author(s):

Balázs Kégl

Keyword(s):

Robust Regression

Smooth ε-Insensitive Regression by Loss Symmetrization

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_32 ◽

2003 ◽

pp. 433-447 ◽

Cited By ~ 3

Author(s):

Ofer Dekel ◽

Shai Shalev-Shwartz ◽

Yoram Singer

Entropy Bounds for Restricted Convex Hulls

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_59 ◽

2003 ◽

pp. 741-742

Author(s):

Vladimir Koltchinskii

Keyword(s):

Convex Hulls ◽

Entropy Bounds

Learning a Function of r Relevant Variables

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_54 ◽

2003 ◽

pp. 731-733 ◽

Cited By ~ 14

Author(s):

Avrim Blum

Keyword(s):

Relevant Variables

Learning and Parsing Stochastic Unification-Based Grammars

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_49 ◽

2003 ◽

pp. 671-683 ◽

Cited By ~ 1

Author(s):

Mark Johnson

Learning with Equivalence Constraints and the Relation to Multiclass Learning

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_46 ◽

2003 ◽

pp. 640-654 ◽

Cited By ~ 3

Author(s):

Aharon Bar-Hillel ◽

Daphna Weinshall

An Information Theoretic Tradeoff between Complexity and Accuracy

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_43 ◽

2003 ◽

pp. 595-609 ◽

Cited By ~ 13

Author(s):

Ran Gilad-Bachrach ◽

Amir Navot ◽

Naftali Tishby

Keyword(s):

Information Theoretic

Approximate Equivalence of Markov Decision Processes

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_42 ◽

2003 ◽

pp. 581-594 ◽

Cited By ~ 2

Author(s):

Eyal Even-Dar ◽

Yishay Mansour

Keyword(s):

Markov Decision Processes ◽

Decision Processes ◽

Markov Decision

Learning Algorithms for Enclosing Points in Bregmanian Spheres

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_29 ◽

2003 ◽

pp. 388-402 ◽

Cited By ~ 2

Author(s):

Koby Crammer ◽

Yoram Singer

Keyword(s):

Learning Algorithms

PAC-MDL Bounds

Learning Theory and Kernel Machines - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45167-9_26 ◽

2003 ◽

pp. 344-357 ◽

Cited By ~ 9

Author(s):

Avrim Blum ◽

John Langford

Learning Theory and Kernel Machines - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Robust Regression by Boosting the Median

Smooth ε-Insensitive Regression by Loss Symmetrization

Entropy Bounds for Restricted Convex Hulls

Learning a Function of r Relevant Variables

Learning and Parsing Stochastic Unification-Based Grammars

Learning with Equivalence Constraints and the Relation to Multiclass Learning

An Information Theoretic Tradeoff between Complexity and Accuracy

Approximate Equivalence of Markov Decision Processes

Learning Algorithms for Enclosing Points in Bregmanian Spheres

PAC-MDL Bounds

Learning Theory and Kernel Machines - Lecture Notes in Computer Science
Latest Publications