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BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
DGO
2006
136views Education» more  DGO 2006»
14 years 11 months ago
Automated classification of congressional legislation
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Stephen Purpura, Dustin Hillard
JMLR
2002
89views more  JMLR 2002»
14 years 9 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
IR
2010
14 years 7 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy
RECOMB
2004
Springer
15 years 10 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...