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» The support vector decomposition machine
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NIPS
2004
14 years 11 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
IJCAI
2003
14 years 11 months ago
Employing Trainable String Similarity Metrics for Information Integration
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...
Mikhail Bilenko, Raymond J. Mooney
SNPD
2004
14 years 11 months ago
Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating ...
Yu Chen, Dong Xu
TREC
2004
14 years 11 months ago
Identifying Relevant Full-Text Articles for GO Annotation Without MeSH Terms
Gene Ontology (GO) is a controlled vocabulary. Given a gene product, GO enables scientists to clearly and unambiguously describe specific molecular functions of the gene product, ...
Chih Lee, Wen-Juan Hou, Hsin-Hsi Chen
BMEI
2009
IEEE
14 years 11 months ago
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images
Cell enumeration in peripheral blood smears and cell are widely applied in biological and pathological practice. Not every area in the smear is appropriate for enumeration due to ...
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim...