_alta-2016-tutorial-wray-buntine-simpler-non-parametric-bayesian-models.jpg "ALTA 2016 Tutorial - Wray Buntine: Simpler Non-parametric Bayesian Models from indian gram Video Screenshot Preview")
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⏲ Duration: 125 min 99 sec
✓ Published: 09-Dec-2016
✓ Published: 09-Dec-2016
Description:
Many interesting non-parametric models are now used for modelling discrete, structured data as we find in language, document and graph analysis. These non-parametric Bayesian models are often based on a variety of different process models such as the Gamma process, the Beta process, the Pitman-Yor process, etc. This tutorial will give an introduction to these models and connect to modern Bayesian non-parametric theory, though doing so in a less former manner.nnThe basic process models can all be
Many interesting non-parametric models are now used for modelling discrete, structured data as we find in language, document and graph analysis. These non-parametric Bayesian models are often based on a variety of different process models such as the Gamma process, the Beta process, the Pitman-Yor process, etc. This tutorial will give an introduction to these models and connect to modern Bayesian non-parametric theory, though doing so in a less former manner.nnThe basic process models can all be
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