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GECCO
2007
Springer
117views Optimization» more  GECCO 2007»
15 years 8 months ago
Modeling selection pressure in XCS for proportionate and tournament selection
In this paper, we derive models of the selection pressure in XCS for proportionate (roulette wheel) selection and tournament selection. We show that these models can explain the e...
Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanz...
IJCNN
2007
IEEE
15 years 8 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
126
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SPLC
2010
15 years 7 days ago
Stratified Analytic Hierarchy Process: Prioritization and Selection of Software Features
Product line engineering allows for the rapid development of variants of a domain specific application by using a common set of reusable assets often known as core assets. Variabil...
Ebrahim Bagheri, Mohsen Asadi, Dragan Gasevic, Sam...
SCFBM
2008
738views more  SCFBM 2008»
15 years 1 months ago
Purposeful selection of variables in logistic regression
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...