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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
SDM
2009
SIAM
179views Data Mining» more  SDM 2009»
15 years 7 months ago
Parallel Large Scale Feature Selection for Logistic Regression.
Daria Sorokina, Jeremy Kubica, Sameer Singh, Scott...
EOR
2006
52views more  EOR 2006»
14 years 10 months ago
Solving feature subset selection problem by a Parallel Scatter Search
Félix García-López, Miguel Ga...
PPSN
2010
Springer
14 years 8 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...