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FUIN
2010
268views more  FUIN 2010»
14 years 4 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
JDCTA
2010
150views more  JDCTA 2010»
14 years 4 months ago
A Knowledge Recommend System Based on User Model
The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
Jiagen Sheng, Sifeng Liu
CIKM
2009
Springer
15 years 4 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...
PERCOM
2003
ACM
15 years 9 months ago
PILGRIM: A Location Broker and Mobility-Aware Recommendation System
Mobile computing adds a mostly unexplored dimension to data mining: user's position is a relevant piece of information, and recommendation systems, selecting and ranking link...
Mauro Brunato, Roberto Battiti
BMCBI
2006
200views more  BMCBI 2006»
14 years 9 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...