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Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensity

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensity. by. Ryan P. Adams, Iain Murray, and David J.C. MacKay. (ICML 2009). Presented by Lihan He ECE, Duke University July 31, 2009. Outline. Introduction The model Poisson distribution

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660 views • 19 slides

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensity

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376 views • 19 slides

Learning the structure of Deep sparse Graphical Model

Learning the structure of Deep sparse Graphical Model. Ryan Prescott Adams Hanna M Wallach Zoubin Ghahramani. Presented by Zhengming Xing. Some pictures are directly copied from the paper and Hanna Wallach’s slides. outline. Introduction Finite belief network Infinite belief network

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291 views • 14 slides

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Inference sample - PowerPoint PPT Presentation

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensity

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensity

Learning the structure of Deep sparse Graphical Model