466 search results - page 26 / 94 » Feature subset selection bias for classification learning |
WCE
2007
14 years 11 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
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CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
IAJIT
2007
14 years 9 months ago
2007
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
ACIVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...