T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of E - T-Kernel - Document - PDFSEARCH.IO

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	T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of E Add to Reading List Document Date: 2012-02-01 13:34:22 Open Document File Size: 260,51 KB Share Result on Facebook City Springer-Verlag / / / IndustryTerm dual tree evaluation algorithm / nonparametric belief propagation applications / multiscale algorithms / mixture products / inference algorithm / multi-tree algorithm / / Organization Massachusetts Institute of Technology / Computational Neuroscience Unit / Alan S. Willsky Department of Electrical Engineering / / Person Erik B. Sudderth / William T. Freeman / Alan S. Willsky / Alexander T. Ihler / / ProgrammingLanguage K / L / / ProvinceOrState New York / / Technology Recursive multi-tree algorithm / Neuroscience / inference algorithm / simulation / a pair of new sampling algorithms / EM algorithm / two multiscale algorithms / dual tree evaluation algorithm / / SocialTag Computational statistics Estimation theory Gaussian function Gibbs sampling Normal distribution Expectation–maximization algorithm Kullback–Leibler divergence Multivariate kernel density estimation Importance sampling Statistics

T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of EAdd to Reading List