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» Solving Demodulation as an Optimization Problem
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130
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EMO
2006
Springer
170views Optimization» more  EMO 2006»
15 years 7 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
ICASSP
2011
IEEE
14 years 7 months ago
The Rotational Lasso
This paper presents a sparse approach of solving the onesided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation ma...
Alexander Lorbert, Peter J. Ramadge
124
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MOR
2007
109views more  MOR 2007»
15 years 3 months ago
Solution and Forecast Horizons for Infinite-Horizon Nonhomogeneous Markov Decision Processes
We consider the problem of solving a nonhomogeneous infinite horizon Markov Decision Process (MDP) problem in the general case of potentially multiple optimal first period polic...
Torpong Cheevaprawatdomrong, Irwin E. Schochetman,...
111
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AAAI
2010
15 years 5 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
141
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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace