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JMLR
2006
134views more  JMLR 2006»
13 years 8 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
TNN
2008
76views more  TNN 2008»
13 years 7 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 8 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. ...
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
14 years 7 days ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan