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» Feature selection through gravitational search algorithm
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NIPS
2000
15 years 4 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»
15 years 1 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 9 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...
150
Voted
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 7 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
148
Voted
CIKM
2009
Springer
15 years 10 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...