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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Dettagli Bibliografici
Autori principali:	Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Natura:	info:eu-repo/semantics/article
Lingua:	English
Pubblicazione:	2017
Accesso online:	http://hdl.handle.net/10835/4859

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