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» Experimental Comparison of Feature Subset Selection Methods
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CIKM
2009
Springer
15 years 9 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...
MMM
2009
Springer
139views Multimedia» more  MMM 2009»
15 years 11 months ago
Comparison of Feature Construction Methods for Video Relevance Prediction
Low level features of multimedia content often have limited power to discriminate a document’s relevance to a query. This motivated researchers to investigate other types of feat...
Pablo Bermejo, Hideo Joho, Joemon M. Jose, Robert ...
136
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ICPR
2008
IEEE
15 years 9 months ago
A feature selection algorithm for handwritten character recognition
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
Luigi P. Cordella, Claudio De Stefano, Francesco F...
ICPR
2000
IEEE
15 years 7 months ago
Oscillating Search Algorithms for Feature Selection
A new sub-optimal subset search method for feature selection is introduced. As opposed to other till now known subset selection methods the oscillating search is not dependent on ...
Petr Somol, Pavel Pudil
AMC
2007
138views more  AMC 2007»
15 years 2 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun