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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Μορφή: info:eu-repo/semantics/article
Γλώσσα:English
Έκδοση: 2017
Διαθέσιμο Online:http://hdl.handle.net/10835/4859

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