37 search results - page 2 / 8 » Feature selection in unsupervised learning via evolutionary ... |
EWCBR
2006
Springer
14 years 5 days ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
IFSA
2007
Springer
14 years 2 months ago
2007
Springer
The use of unsupervised fuzzy learning methods produces a large number of alternative classifications. This paper presents and analyzes a series of criteria to select the most sui...
FSKD
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
ICTAI
2006
IEEE
14 years 2 months ago
2006
IEEE
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...