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High dimensional problems - PowerPoint PPT Presentation

Jun Liu Department of Statistics Stanford University

Multiple-Try Metropolis. Jun Liu Department of Statistics Stanford University. Based on the joint work with F. Liang and W.H. Wong. The Basic Problems of Monte Carlo. Draw random variable Estimate the integral . Sometimes with unknown normalizing constant. c g( x ). c. u cg ( x ).

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421 views • 30 slides

Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees

Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees. Radford M. Neal and Jianguo Zhang the winners of NIPS2003 feature selection challenge University of Toronto. The results.

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415 views • 18 slides

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High dimensional problems - PowerPoint PPT Presentation

Jun Liu Department of Statistics Stanford University

Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees