5138 search results - page 40 / 1028 » Low-Entropy Set Selection. |
COCO
1995
Springer
14 years 1 months ago
1995
Springer
Over a decade ago, Schoning introduced the concept of lowness into structural complexity theory. Since then a large body of results has been obtained classifying various complexit...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
ALMOB
2007
13 years 10 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
ACL
2009
13 years 7 months ago
2009
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...