Learning Conditional Distributions Using Mixtures of Truncated Basis Functions

DOI10.1007/978-3-319-20807-7_36zbMath1465.68228OpenAlexW2396586826MaRDI QIDQ3451199

Helge Langseth, Antonio Salmerón, Inmaculada Pérez-Bernabé

Publication date: 10 November 2015

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10835/4859

zbMATH Keywords

conditional densityjoint densityhybrid Bayesian networksmixtures of truncated basis functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Probabilistic graphical models (62H22)

Cites Work

• Learning mixtures of truncated basis functions from data
• Mixtures of truncated basis functions
• Inference in hybrid Bayesian networks using mixtures of polynomials
• Estimating the dimension of a model
• Maximum Likelihood Learning of Conditional MTE Distributions
• Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models
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