1405 search results - page 48 / 281 » Anytime Algorithm for Feature Selection |
104
Voted
MICAI
2007
Springer
15 years 8 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, ...
114
Voted
ACL
2004
15 years 3 months ago
2004
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
121
Voted
JUCS
2008
15 years 1 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
171
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CATA
2009
15 years 3 months ago
2009
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
120
Voted
ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...