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111
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PAMI
2010
132views more  PAMI 2010»
14 years 11 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
125
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GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
14 years 4 months ago
Mirrored sampling in evolution strategies with weighted recombination
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
MCS
2009
Springer
15 years 7 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
116
Voted
REFSQ
2007
Springer
15 years 7 months ago
Integrated Requirement Selection and Scheduling for the Release Planning of a Software Product
This paper investigates two integer linear programming models that integrate requirement scheduling into software release planning. The first model can schedule the development of ...
C. Li, J. M. van den Akker, Sjaak Brinkkemper, Gui...
105
Voted
MCS
2004
Springer
15 years 6 months ago
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of ...
Luca Didaci, Giorgio Giacinto