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» Is Combining Classifiers Better than Selecting the Best One
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CP
2010
Springer
14 years 7 months ago
Ensemble Classification for Constraint Solver Configuration
The automatic tuning of the parameters of algorithms and automatic selection of algorithms has received a lot of attention recently. One possible approach is the use of machine lea...
Lars Kotthoff, Ian Miguel, Peter Nightingale
BMCBI
2011
14 years 1 months 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...
ICASSP
2011
IEEE
14 years 1 months ago
A knapsack problem formulation for relay selection in secure cooperative wireless communication
—Cooperative jamming (CJ) schemes support secure wireless communication in the presence of one or more eavesdroppers. Larger numbers of cooperative relays provide better secrecy ...
Shuangyu Luo, Hana Godrich, Athina P. Petropulu, H...
COLING
2008
14 years 11 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
CVPR
2008
IEEE
15 years 11 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu