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129
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NIPS
2000
15 years 5 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
JMLR
2010
159views more  JMLR 2010»
14 years 10 months ago
Semi-Supervised Learning with Max-Margin Graph Cuts
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
Branislav Kveton, Michal Valko, Ali Rahimi, Ling H...
143
Voted
SPAA
2010
ACM
15 years 8 months ago
Basic network creation games
We study a natural network creation game, in which each node locally tries to minimize its local diameter or its local average distance to other nodes, by swapping one incident ed...
Noga Alon, Erik D. Demaine, MohammadTaghi Hajiagha...
133
Voted
ALGORITHMICA
1998
143views more  ALGORITHMICA 1998»
15 years 3 months ago
On Minimum-Area Hulls
Abstract. We study some minimum-area hull problems that generalize the notion of convex hull to starshaped and monotone hulls. Specifically, we consider the minimum-area star-shap...
Esther M. Arkin, Yi-Jen Chiang, Martin Held, Josep...
138
Voted
ACISP
2008
Springer
15 years 10 months ago
Methods for Linear and Differential Cryptanalysis of Elastic Block Ciphers
The elastic block cipher design employs the round function of a given, b-bit block cipher in a black box fashion, embedding it in a network structure to construct a family of ciphe...
Debra L. Cook, Moti Yung, Angelos D. Keromytis