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TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
15 years 10 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...
FLAIRS
1998
15 years 7 months ago
Investigating the Validity of a Test Case Selection Methodology for Expert System Validation
Providing assurances of performance is an important aspect of successful development and commercialization of expert systems. However, this can only be done if the quality of the ...
Jan-Eike Michels, Thomas Abel, Rainer Knauf, Aveli...
ICTAI
2010
IEEE
15 years 4 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi
TSP
2010
15 years 1 months ago
Low complexity equalization for doubly selective channels modeled by a basis expansion
We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....