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» Feature selection through gravitational search algorithm
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ICPR
2008
IEEE
15 years 3 months ago
Dynamic Oscillating Search algorithm for feature selection
Petr Somol, Jana Novovicová, Jiri Grim, Pav...
PKDD
2007
Springer
196views Data Mining» more  PKDD 2007»
15 years 3 months ago
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering
A relevance filter is proposed which removes features based on the mutual information between class labels and features. It is proven that both feature independence and class condi...
Gert Van Dijck, Marc M. Van Hulle
PREMI
2011
Springer
14 years 7 days ago
Finding Potential Seeds through Rank Aggregation of Web Searches
This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Rajendra Prasath, Pinar Öztürk
SGAI
2004
Springer
15 years 2 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
12 years 11 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman