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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 4 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
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...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
VLDB
2011
ACM
276views Database» more  VLDB 2011»
14 years 4 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
JELIA
2004
Springer
15 years 3 months ago
Practical Reasoning for Uncertain Agents
Logical formalisation of agent behaviour is desirable, not only in order to provide a clear semantics of agent-based systems, but also to provide the foundation for sophisticated r...
Nivea de Carvalho Ferreira, Michael Fisher, Wiebe ...