300 search results - page 8 / 60 » A genetic algorithm-based method for feature subset selectio... |
SAC
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
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SSPR
2004
Springer
15 years 2 months ago
2004
Springer
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
MLDM
2009
Springer
15 years 2 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
SCIA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
CIKM
2010
Springer
14 years 7 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...