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Showing 1 to 2 of 2 for “"Non-parametric Bayes"”.
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Probabilistic data analysis with probabilistic programming
… techniques. Examples include hierarchical Bayesian models, multivariate kernel methods, discriminative machine learning, clustering algorithms, dimensionality reduction, and arbitrary probabilistic programs. We also demonstrate the integration of CGPMs into BayesDB, a probabilistic …
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Statistical modeling of heterogeneous data
… approaches in Chapter 1. In recent years non-parametric Bayesian mixture models have attracted increasing attention in the clustering literature, which is closely related with our work. So we review the Mixture of Dirichlet Process Model in Chapter 2. The main dissertation body consists of …