Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
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DOI: 10.1007/s10994-018-5718-0
Abstract: This paper introduces a novel parameter estimation method for the probability tables of Bayesian network classifiers (BNCs), using hierarchical Dirichlet processes (HDPs). The main result of this paper is to show that improved parameter estimation… read more here.
Keywords: hierarchical dirichlet; estimation; bayesian network; parameter estimation ... See more keywords
The Use of Informed Priors in Biclustering of Gene Expression with the Hierarchical Dirichlet Process
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DOI: 10.1109/tcbb.2019.2901676
Abstract: We motivate and describe the application of Hierarchical Dirichlet Process (HDP) models to the “soft” biclustering of gene expression data, in which we obtain modules (biclusters) where the affiliation of genes and samples with the… read more here.
Keywords: expression; biclustering gene; dirichlet process; hierarchical dirichlet ... See more keywords
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications
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DOI: 10.1109/tkde.2017.2786727
Abstract: The proliferation of e-commerce calls for mining consumer preferences and opinions from user-generated text. To this end, topic models have been widely adopted to discover the underlying semantic themes (i.e., topics). Supervised topic models have… read more here.
Keywords: hierarchical dirichlet; dirichlet process; process based; supervised topic ... See more keywords