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Showing 1 to 2 of 2 for “"Beta Bernoulli process"”.
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Inference of Low-Dimensional Latent Structure in High-Dimensional Data
… based upon compressive measurements. A truncated beta-Bernoulli process is employed to infer an appropriate dictionary for the test data, and also for image recovery. In the context of compressive sensing, significant improvements in image recovery are manifested using learned dictionaries, …
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Nonparametric Bayesian Modelling in Machine Learning
… Bayesian non-parametric inference. The Dirichlet process and its extensions are priors on an infinite-dimensional space. Originally introduced by Ferguson (1983), its conjugacy property allows a tractable posterior inference which has lately given rise to a significant developments in applications …