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Showing 1 to 3 of 3 for “"Nonparametric Bayesian Modeling"”.
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Nonparametric Bayesian Dictionary Learning and Count and Mixture Modeling
… to conventional approaches of statistical modeling. Bayesian nonparametrics constitute a promising research direction, in that such techniques can fit the data with a model that can grow with complexity to match the data. In this dissertation we consider nonparametric Bayesian modeling with …
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Nonparametric Bayesian methods for supervised and unsupervised learning
I introduce two nonparametric Bayesian methods for solving problems of supervised and unsupervised learning. The first method simultaneously learns causal networks and causal theories from data. For example, given synthetic co-occurrence data from a simple causal model for the medical domain, it …
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Advanced Nonparametric Bayesian Functional Modeling
… and relations can be easily modeled by a Bayesian hierarchical model, or developed from a more generic one by changing the prior distributions. Hence, this dissertation focuses on the development of Bayesian approaches for functional analyses due to their flexibilities. A nonparametric …