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EOR
2006
52views more  EOR 2006»
14 years 9 months ago
Solving feature subset selection problem by a Parallel Scatter Search
Félix García-López, Miguel Ga...
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 9 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»
14 years 10 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»
15 years 3 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»
14 years 8 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...