Bayesian kernel density estimation

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Probabilistic SEM : an augmentation to classical Structural equation modelling

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Bayesian convolutional neural networks : a probabilistic approach to address uncertainty in convolutional neural networks with an application in image processing

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A two-stage contagious naïve Bayes classifier for detecting sociolinguistic features in text

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Latent semantic models : a study of probabilistic models for text in information retrieval

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A Gamma-Poisson topic model for short text

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Modifying copulas for improved dependence modelling

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Modelling spatial dependence using extensions of the Poisson distribution

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Feature engineered embeddings for machine learning on molecular data

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Deriving trajectory embeddings from global positioning system movement data

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Explainable Bayesian networks : taxonomy, properties and approximation methods

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