Reference : Constraint Based Learning of Mixtures of Trees
Scientific congresses and symposiums : Unpublished conference
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/36567
Constraint Based Learning of Mixtures of Trees
English
Schnitzler, François mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
2009
3
Yes
International
Probabilistic graphical models for integration of complex data and discovery of causal models in biology
Nantes
France
[en] mixture ; trees ; causal learning
[en] Mixtures of trees can be used to model any multivariate distributions. In this
work the possibility to learn these models from data by causal learning is explored. The
algorithm developed aims at approximating all first order relationships between pairs
of variables by a mixture of a given size. This approach is evaluated based on synthetic
data, and seems promising.
Systèmes et modélisation
Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA
Researchers
http://hdl.handle.net/2268/36567

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