414 search results - page 11 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
EMNLP
2009
13 years 5 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
TREC
2004
13 years 8 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
BMCBI
2006
13 years 7 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...