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ICML
2007
IEEE
16 years 3 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
119
Voted
AUTOMATICA
2005
178views more  AUTOMATICA 2005»
15 years 2 months ago
Spacecraft attitude control using explicit model predictive control
In this paper, an explicit model predictive controller for the attitude of a satellite is designed. Explicit solutions to constrained linear MPC problems can be computed by solvin...
Øyvind Hegrenæs, Jan Tommy Gravdahl, ...
126
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 2 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
131
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 6 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
134
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 6 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa