244 search results - page 7 / 49 » Oscillating Search Algorithms for Feature Selection |
PAKDD
2000
ACM
13 years 11 months ago
2000
ACM
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...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
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...
ICML
1997
IEEE
13 years 11 months ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...