ORBi: Schnitzler François - Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation

Reference : Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation


	Document type :	Scientific conferences in universities or research centers : Scientific conference in universities or research centers
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/124794

Title :	Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation
Language :	English
Author, co-author :	Schnitzler, François [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	7-Dec-2011
Audience :	National
Event name :	BENE@work
Event date :	7/12/2011
Event place (city) :	Bruxelles
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/124794

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