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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 5 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»
14 years 2 months ago
Parallel Large Scale Feature Selection for Logistic Regression.
Daria Sorokina, Jeremy Kubica, Sameer Singh, Scott...
EOR
2006
52views more  EOR 2006»
13 years 4 months ago
Solving feature subset selection problem by a Parallel Scatter Search
Félix García-López, Miguel Ga...
PPSN
2010
Springer
13 years 2 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...