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TNN
2008
76views more  TNN 2008»
13 years 4 months ago
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ICML
2004
IEEE
14 years 5 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. ...
ECML
2006
Springer
13 years 8 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
ICML
2005
IEEE
14 years 5 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
ICML
2003
IEEE
14 years 5 months ago
Weighted Order Statistic Classifiers with Large Rank-Order Margin
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...
Reid B. Porter, Damian Eads, Don R. Hush, James Th...