2395 search results - page 22 / 479 » A selective sampling approach to active feature selection |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
ICCBR
2003
Springer
14 years 28 days ago
2003
Springer
In real environments it is often difficult to obtain a collection of cases for the case base that would cover all the problem solving situations. Although it is often somewhat eas...
NIPS
2007
13 years 9 months ago
2007
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
BMCBI
2004
13 years 7 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...