Learning Conditional Distributions using Mixtures of Truncated Basis Functions

Learning Conditional Distributions using Mixtures of Truncated Basis Functions

Mixtures of Truncated Basis Functions (MoTBFs) have recently been proposed for modelling univariate and joint distributions in hybrid Bayesian networks. In this paper we analyse the problem of learning conditional MoTBF distributions from data. Our approach utilizes a new technique for learning...

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Dades bibliogràfiques
Autors principals:	Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Format:	info:eu-repo/semantics/article
Idioma:	English
Publicat:	2017
Accés en línia:	http://hdl.handle.net/10835/4859

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