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EOR
2006
52views more  EOR 2006»
13 years 5 months ago
Solving feature subset selection problem by a Parallel Scatter Search
Félix García-López, Miguel Ga...
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...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 6 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
13 years 11 months ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 4 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...