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108
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ICML
2007
IEEE
16 years 3 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
122
Voted
JMLR
2002
89views more  JMLR 2002»
15 years 2 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...
ICML
2004
IEEE
16 years 3 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. ...
88
Voted
ICML
2004
IEEE
16 years 3 months ago
Nonparametric classification with polynomial MPMC cascades
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
Sander M. Bohte, Markus Breitenbach, Gregory Z. Gr...
95
Voted
SEAL
2010
Springer
15 years 8 days ago
A Parallel Algorithm for Solving Large Convex Minimax Problems
Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, J...