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...
| Auteurs principaux: | , , |
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| Format: | info:eu-repo/semantics/article |
| Langue: | English |
| Publié: |
2017
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| Accès en ligne: | http://hdl.handle.net/10835/4859 |