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131
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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 2 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
CIKM
2009
Springer
15 years 8 months ago
Privacy-enhanced public view for social graphs
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
Hyoungshick Kim, Joseph Bonneau
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 11 months ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 5 months ago
Deceptiveness and neutrality the ND family of fitness landscapes
When a considerable number of mutations have no effects on fitness values, the fitness landscape is said neutral. In order to study the interplay between neutrality, which exists ...
William Beaudoin, Sébastien Vérel, P...
145
Voted
ATAL
2005
Springer
15 years 7 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson