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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 6 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
PAMI
2008
140views more  PAMI 2008»
15 years 6 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
PRL
2006
130views more  PRL 2006»
15 years 6 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho
IJKL
2007
90views more  IJKL 2007»
15 years 6 months ago
Semantics-supported cooperative learning for enhanced awareness
: Awareness is required for supporting all forms of cooperation. In Computer Supported Collaborative Learning (CSCL), awareness can be used for enhancing collaborative opportunitie...
César A. Collazos, Roberto Garcia
SYNTHESE
2008
114views more  SYNTHESE 2008»
15 years 6 months ago
Quantified coalition logic
We add a limited but useful form of quantification to Coalition Logic, a popular formalism for reasoning about cooperation in game-like multi-agent systems. The basic constructs o...
Thomas Ågotnes, Wiebe van der Hoek, Michael ...