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» An Application Framework for Collaborative Learning
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CEC
2007
IEEE
15 years 4 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 4 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
CP
2003
Springer
15 years 3 months ago
Semi-automatic Modeling by Constraint Acquisition
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
Remi Coletta, Christian Bessière, Barry O'S...
ACL
2006
14 years 11 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
IJON
2000
72views more  IJON 2000»
14 years 9 months ago
Delay adaptation in the nervous system
Time delays are ubiquitous in the nervous system. Empirical "ndings suggest that time delays are adapted when considering the synchronous activity of neurons. We introduce a ...
Christian W. Eurich, Klaus Pawelzik, Udo Ernst, An...