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» Methods for Dynamic Classifier Selection
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BMCBI
2011
13 years 15 days ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
SAT
2010
Springer
158views Hardware» more  SAT 2010»
14 years 24 days ago
Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Dave A. D. Tompkins, Holger H. Hoos
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
14 years 19 days ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
MLDM
2007
Springer
14 years 3 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
INTERSPEECH
2010
13 years 3 months ago
Dynamic model selection for spectral voice conversion
Statistical methods for voice conversion are usually based on a single model selected in order to represent a tradeoff between goodness of fit and complexity. In this paper we ass...
Pierre Lanchantin, Xavier Rodet