KDD
2010
ACM
14 years 3 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
KDD
1997
ACM
14 years 3 months ago
1997
ACM
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
ECML
1998
Springer
14 years 3 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
RSKT
2009
Springer
14 years 4 months ago
2009
Springer
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
MLDM
2009
Springer
14 years 4 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
ISMIS
2003
Springer
14 years 4 months ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
ISCIS
2003
Springer
14 years 4 months ago
2003
Springer
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
ILP
2003
Springer
14 years 4 months ago
2003
Springer
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
EUROCAST
2003
Springer
14 years 4 months ago
2003
Springer
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
ICDM
2003
IEEE
14 years 4 months ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...