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NECO
1998
119views more  NECO 1998»
15 years 1 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
139
Voted
ESSLLI
2009
Springer
14 years 11 months ago
Variable Selection in Logistic Regression: The British English Dative Alternation
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
Daphne Theijssen
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 11 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
KBS
2008
98views more  KBS 2008»
15 years 9 days ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu