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» Solving Hierarchical Optimization Problems Using MOEAs
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CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 4 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 27 days ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 3 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
TELSYS
2008
85views more  TELSYS 2008»
13 years 9 months ago
Trustworthy Web services provisioning for differentiated customer services
With the number of e-Business applications dramatically increasing, a service level agreement (SLA) will play an important part in Web services. The SLA is a combination of severa...
Kaiqi Xiong, Harry G. Perros
DLOG
2004
13 years 10 months ago
A Uniform Tableaux-Based Approach to Concept Abduction and Contraction in ALN
We present algorithms based on truth-prefixed tableaux to solve both Concept Abduction and Contraction in ALN DL. We also analyze the computational complexity of the problems, sho...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...