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» Heuristic Search over a Ranking for Feature Selection
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CIKM
2009
Springer
13 years 11 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...
AIPS
2004
13 years 6 months ago
An Empirical Analysis of Some Heuristic Features for Local Search in LPG
LPG is a planner that performed very well in the last International planning competition (2002). The system is based on a stochastic local search procedure, and it incorporates se...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
PAMI
2007
102views more  PAMI 2007»
13 years 4 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
TIP
2008
142views more  TIP 2008»
13 years 4 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
PAA
2007
13 years 4 months ago
Pairwise feature evaluation for constructing reduced representations
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...