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TKDE
2008
115views more  TKDE 2008»
13 years 7 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
TSI
2008
129views more  TSI 2008»
13 years 7 months ago
COSMOS, composition de noeuds de contexte
Ubiquitous applications are facing a large diversity of execution contexts. However, this diversity requires some continual adaptation to preserve the correct execution of these ap...
Denis Conan, Romain Rouvoy, Lionel Seinturier
AICOM
2004
100views more  AICOM 2004»
13 years 7 months ago
Query rewriting with symmetric constraints
Abstract. We address the problem of answering queries using expressive symmetric inter-schema constraints which allow to establish mappings between several heterogeneous informatio...
Christoph Koch
BMCBI
2004
181views more  BMCBI 2004»
13 years 7 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 7 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish