Parameter learning in hybrid Bayesian networks using prior knowledge
Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.
Hybrid Bayesian networksMixtures of truncated basis functionsParameter learningPrior information
Mixtures of truncated basis functions have been recently proposed as a generalisation of mixtures of truncated exponentials and mixtures of polynomials for modelling univariate and conditional distributions in hybrid Bayesian networks. In this paper we analyse the problem of learning the parameters of marginal and conditional MoTBF densit...More
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