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» Feature selection in scientific applications
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IEAAIE
2003
Springer
14 years 3 months ago
Fast Feature Selection by Means of Projections
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Roberto Ruiz, José Cristóbal Riquelm...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 2 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...
IEEEPACT
2008
IEEE
14 years 4 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ELPUB
2007
ACM
14 years 1 months ago
Challenges in the Selection, Design and Implementation of an Online Submission and Peer Review System for STM Journals
Two international scientific publishers collaborated to develop an Online Submission and Peer Review System (OSPREY) for their journals. Our goals were to meet market demand, incr...
Judy Best, Richard Akerman
PRL
2006
117views more  PRL 2006»
13 years 9 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...