153 search results - page 8 / 31 » Supervised feature selection via dependence estimation |
96
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
87
Voted
DAGSTUHL
2009
14 years 10 months ago
2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
71
Voted
GRC
2008
IEEE
14 years 10 months ago
2008
IEEE
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...