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» Optimal convex error estimators for classification
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JMLR
2002
89views more  JMLR 2002»
13 years 7 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...
SIAMNUM
2010
129views more  SIAMNUM 2010»
13 years 2 months ago
Convergence of an Adaptive Finite Element Method for Controlling Local Energy Errors
A number of works concerning rigorous convergence theory for adaptive finite element methods (AFEM) for controlling global energy errors have appeared in recent years. However, man...
Alan Demlow
TWC
2008
131views more  TWC 2008»
13 years 7 months ago
On channel estimation and optimal training design for amplify and forward relay networks
In this paper, we provide a complete study on the training based channel estimation issues for relay networks that employ the amplify-and-forward (AF) transmission scheme. We first...
Feifei Gao, Tao Cui, Arumugam Nallanathan
SIAMIS
2010
167views more  SIAMIS 2010»
13 years 2 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
13 years 7 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...