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COLT
2003
Springer
15 years 9 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
133
Voted
GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
15 years 9 months ago
An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
Helio J. C. Barbosa, Afonso C. C. Lemonge
120
Voted
NIPS
2003
15 years 5 months ago
Feature Selection in Clustering Problems
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
Volker Roth, Tilman Lange
128
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Generalized interior-point method for constrained peak power minimization of OFDM signals
In this paper we present two results on reducing the peak power of orthogonal frequency division multiplexing (OFDM) symbols via constellation extension (CE). The first result is...
Zhenhua Yu, Robert J. Baxley, G. Tong Zhou
151
Voted
TCAD
2008
136views more  TCAD 2008»
15 years 3 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar