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COLT
1995
Springer
13 years 8 months ago
An Experimental and Theoretical Comparison of Model Selection Methods
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, D...
ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
13 years 10 months ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang
ICALP
2009
Springer
14 years 4 months ago
Sorting and Selection with Imprecise Comparisons
Abstract. In experimental psychology, the method of paired comparisons was proposed as a means for ranking preferences amongst n elements of a human subject. The method requires pe...
Avinatan Hassidim, Jelani Nelson, Miklós Aj...
ECAI
2008
Springer
13 years 6 months ago
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Abstract. Ensemble selection deals with the reduction of an ensemble of predictive models in order to improve its efficiency and predictive performance. A number of ensemble select...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
IJCNN
2008
IEEE
13 years 10 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris