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» Methods for Dynamic Classifier Selection
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ICPR
2010
IEEE
14 years 1 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
DATAMINE
2006
139views more  DATAMINE 2006»
13 years 10 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
TMI
2010
206views more  TMI 2010»
13 years 4 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
14 years 2 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa