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GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
16 years 7 days ago
New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables
An optimization problem is often represented with a set of variables, and the interaction between the variables is referred to as epistasis. In this paper, we propose two new measu...
Dong-il Seo, Sung-Soon Choi, Byung Ro Moon
IOR
2011
152views more  IOR 2011»
15 years 1 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
208
Voted
ICASSP
2011
IEEE
14 years 10 months ago
A reweighted least squares algorithm for detection of QAM signaling in MIMO channels
This paper proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in multiple-input multiple-output (MIMO) channels. Although the QAM det...
Katsumi Konishi, Toshihiro Furukawa
155
Voted
DAC
2005
ACM
16 years 7 months ago
A quasi-convex optimization approach to parameterized model order reduction
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
187
Voted
ECML
2007
Springer
16 years 1 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales