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» Approximation Algorithms for Min-Max Generalization Problems
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GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 25 days ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
ISSAC
2009
Springer
144views Mathematics» more  ISSAC 2009»
14 years 3 months ago
H-LLL: using householder inside LLL
We describe a new LLL-type algorithm, H-LLL, that relies on Householder transformations to approximate the underlying Gram-Schmidt orthogonalizations. The latter computations are ...
Ivan Morel, Damien Stehlé, Gilles Villard
ECML
2005
Springer
14 years 2 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen
CPM
2005
Springer
100views Combinatorics» more  CPM 2005»
13 years 11 months ago
Hardness of Optimal Spaced Seed Design
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
François Nicolas, Eric Rivals
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 9 months ago
Single Parameter Combinatorial Auctions with Partially Public Valuations
We consider the problem of designing truthful auctions, when the bidders' valuations have a public and a private component. In particular, we consider combinatorial auctions w...
Gagan Goel, Chinmay Karande, Lei Wang