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...
Prif Awduron: | Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge |
---|---|
Fformat: | info:eu-repo/semantics/article |
Iaith: | English |
Cyhoeddwyd: |
2017
|
Mynediad Ar-lein: | http://hdl.handle.net/10835/4859 |
Eitemau Tebyg
-
Learning Mixtures of Truncated Basis Functions from Data
gan: Langseth, Helge, et al.
Cyhoeddwyd: (2017) -
Mixtures of Truncated Basis Functions
gan: Langseth, Helge, et al.
Cyhoeddwyd: (2017) -
MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
gan: Maldonado González, Ana Devaki, et al.
Cyhoeddwyd: (2023) -
Learning hybrid Bayesian networks using mixtures of truncated exponentials
gan: Romero, Vanessa, et al.
Cyhoeddwyd: (2017) -
Parameter Estimation in Mixtures of Truncated Exponentials
gan: Langseth, Helge, et al.
Cyhoeddwyd: (2012)