1090 search results - page 21 / 218 » Consistency measures for feature selection |
ICB
2009
Springer
14 years 2 months ago
2009
Springer
We developed measures relating feature vector distributions to speaker recognition (SR) performances for performance prediction and potential arbitrary data selection for SR. We ex...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
AI
2009
Springer
14 years 2 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
SAC
2006
ACM
14 years 1 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...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....