80 search results - page 2 / 16 » Conditional Mutual Information Based Feature Selection for C... |
EWCBR
2006
Springer
13 years 9 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
ICASSP
2007
IEEE
14 years 2 days ago
2007
IEEE
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
JMLR
2010
13 years 16 days ago
2010
A number of feature selection mechanisms have been explored in text categorization, among which mutual information, information gain and chi-square are considered most effective. ...
CORR
2002
Springer
13 years 5 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...