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» Feature selection through gravitational search algorithm
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NIPS
2000
14 years 10 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
VR
2010
IEEE
139views Virtual Reality» more  VR 2010»
14 years 7 months ago
Buttonless clicking: Intuitive select and pick-release through gesture analysis
Clicking is a key feature any interaction input system needs to provide. In the case of 3D input devices, such a feature is often difficult to provide (e.g. vision-based, or trac...
Ali Choumane, Géry Casiez, Laurent Grisoni
CIKM
2007
Springer
15 years 3 months ago
Improving the classification of newsgroup messages through social network analysis
Newsgroup participants interact with their communities through conversation threads. They may respond to a message to answer a question, debate a topic, support or disagree with a...
Blaz Fortuna, Eduarda Mendes Rodrigues, Natasa Mil...
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
CIKM
2009
Springer
15 years 4 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...