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» Methods for Dynamic Classifier Selection
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AE
2003
Springer
14 years 3 months ago
A Clustering Based Niching EA for Multimodal Search Spaces
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss ...
Felix Streichert, Gunnar Stein, Holger Ulmer, Andr...
WSCG
2004
148views more  WSCG 2004»
13 years 11 months ago
Visualization of Dynamic Behaviour of Multi-Agent Systems
The extension of our research on analysis of a single agent or agent communities combining advanced methods of visualization with traditional AI techniques is presented in this pa...
David Rehor, Pavel Slavík, David Kadlecek, ...
EDBTW
2010
Springer
14 years 1 months ago
Text-to-query: dynamically building structured analytics to illustrate textual content
Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It...
Raphaël Thollot, Falk Brauer, Wojciech M. Bar...
BMCBI
2010
115views more  BMCBI 2010»
13 years 10 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
CVPR
2005
IEEE
15 years 5 days ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...