913 search results - page 47 / 183 » Online feature selection and classification |
106
Voted
PR
2006
15 years 14 days ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
130
Voted
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
104
Voted
KDD
2004
ACM
16 years 28 days ago
2004
ACM
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
APIN
2008
15 years 20 days ago
2008
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
121
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KBS
2008
14 years 11 months ago
2008
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...