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» The Chow Parameters Problem
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106
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IJCAI
2007
15 years 4 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben
122
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ESANN
2004
15 years 4 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
119
Voted
AMC
2010
143views more  AMC 2010»
15 years 3 months ago
Fixed-point iterations in determining a Tikhonov regularization parameter in Kirsch's factorization method
Kirsch's factorization method is a fast inversion technique for visualizing the profile of a scatterer from measurements of the far-field pattern. The mathematical basis of t...
Koung Hee Leem, George Pelekanos, Fermín S....
AUTOMATICA
2010
127views more  AUTOMATICA 2010»
15 years 1 months ago
Partitioning datasets based on equalities among parameters
When a phenomenon is described by a parametric model and multiple datasets are available, a key problem in statistics is to discover which datasets are characterized by the same p...
Riccardo Porreca, Giancarlo Ferrari-Trecate
139
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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....