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GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
DAM
2000
13 years 7 months ago
2000
Feedback problems consist of removing a minimal number of vertices of a directed or undirected graph in order to make it acyclic. The problem is known to be NPcomplete. In this pa...
SAT
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
ROBVIS
2001
Springer
14 years 9 days ago
2001
Springer
This paper presents a wavelet-based algorithm for height from gradients. The tensor product of the third-order Daubechies’ scaling functions is used to span the solution space. ...