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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Bibliografski detalji
Glavni autori: Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Format: info:eu-repo/semantics/article
Jezik:English
Izdano: 2017
Online pristup:http://hdl.handle.net/10835/4859

Internet

http://hdl.handle.net/10835/4859

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