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» Using Supervised Clustering to Enhance Classifiers
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 11 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
JUCS
2010
135views more  JUCS 2010»
13 years 4 months ago
Web Context Classification Based on Information Quality Factors
: The fact that the World Wide Web is being used for various purposes also implies that users may have various information quality factors to consider according to their current co...
Jinhyuk Choi, Geehyuk Lee, Junghoon Moon
EMNLP
2004
13 years 7 months ago
Instance-Based Question Answering: A Data-Driven Approach
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
Lucian Vlad Lita, Jaime G. Carbonell
ICCV
2007
IEEE
14 years 8 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
BMCBI
2007
143views more  BMCBI 2007»
13 years 6 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng