466 search results - page 11 / 94 » Feature subset selection bias for classification learning |
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AUSAI
2011
Springer
13 years 9 months ago
2011
Springer
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
PAKDD
2009
ACM
15 years 4 months ago
2009
ACM
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
AVBPA
2005
Springer
15 years 3 months ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...