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IJCAI
2007
13 years 11 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
PIMRC
2008
IEEE
14 years 4 months ago
Information theory vs. queueing theory for resource allocation in multiple access channels
— We consider the problem of rate allocation in a fading Gaussian multiple-access channel with fixed transmission powers. The goal is to maximize a general concave utility funct...
Ali ParandehGheibi, Muriel Médard, Asuman E...
MP
2002
195views more  MP 2002»
13 years 9 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
JMLR
2008
140views more  JMLR 2008»
13 years 10 months ago
Aggregation of SVM Classifiers Using Sobolev Spaces
This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular ...
Sébastien Loustau
JSAC
2006
96views more  JSAC 2006»
13 years 10 months ago
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank