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ICML
2004
IEEE
14 years 9 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
14 years 25 days ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...
GPEM
2008
128views more  GPEM 2008»
13 years 8 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
IS
2007
13 years 8 months ago
A co-training framework for searching XML documents
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
Wilfred Ng, Ho Lam Lau
KBS
2007
86views more  KBS 2007»
13 years 8 months ago
Automatic species identification of live moths
A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could...
Michael Mayo, Anna T. Watson