89 search results - page 2 / 18 » A Monotonic Measure for Optimal Feature Selection |
ICML
2009
IEEE
14 years 1 days ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
MICAI
2007
Springer
13 years 11 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...