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Mixture
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#	Item
431	Chocolate Dream Biscuits – eye-‐catching and tasty temptations for the coffee table Ingredients BISCUIT MIXTURE 120 g soft butter 80 Add to Reading List Source URL: www.vivani-chocolate.de Language: English - Date: 2014-10-30 16:08:44
432	Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-12-15 22:15:42 Learning theory Cluster analysis Data analysis Mixture model Dimensional analysis Dimension Multivariate normal distribution Dirichlet process Covariance matrix Statistics Machine learning Concept learning
433	Microsoft Word110139 Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2012-03-08 21:44:30 Monte Carlo methods Estimation theory Markov models Weather prediction Statistical forecasting Limited-memory BFGS BFGS method Markov chain Monte Carlo Mixture model Statistics Probability and statistics Mathematical sciences
434	Nutty Triangles (makes approximately 24) INGREDIENTS DOUGH MIXTURE • 225 g flour, type 550 • 1 tsp baking powder Add to Reading List Source URL: www.vivani-chocolate.de Language: English - Date: 2014-10-30 15:12:06
435	Beyond unimodal regression: modelling multimodality with piecewise unimodal, mixture or Technical Report Add to Reading List Source URL: sfb876.tu-dortmund.de Language: English
436	Distinguishing Residential Submarkets Gregory M. Schwann Department of Property University of Auckland May 1998 Add to Reading List Source URL: www.prres.net Language: English - Date: 2012-09-18 04:18:20 Real estate Urban economics Economic data Hedonic regression Least squares Mixture model Errors and residuals in statistics Real estate economics Degrees of freedom Statistics Regression analysis Econometrics
437	Multiple Source Adaptation and the R´enyi Divergence Yishay Mansour Google Research and Tel Aviv Univ. Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:32 Kullback–Leibler divergence Statistical theory Thermodynamics Closed and exact differential forms Multivariate normal distribution Divergence Mixture distribution Distribution Vector space Algebra Mathematics Statistics
438	Memory Bounded Inference in Topic Models Ryan Gomes GOMES @ VISION . CALTECH . EDU Dept. of Computation and Neural Systems, California Institute of Technology, Pasadena, CAUSA Max Welling Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-12 18:11:33 Estimation theory Expectation–maximization algorithm Missing data Mixture model Latent Dirichlet allocation Dirichlet process Time complexity Calculus of variations Statistics Theoretical computer science Statistical natural language processing
439	Discussion Paper Atmos. Chem. Phys. Discuss., 15, 16141–16174, 2015 www.atmos-chem-phys-discuss.netdoi:acpd © Author(sCC Attribution 3.0 License. Add to Reading List Source URL: www.atmos-chem-phys-discuss.net Language: English - Date: 2015-07-13 16:23:53 Atmosphere Chemistry Cloud condensation nuclei Closure Aerosol Mixture Particle-size distribution Particulates Aerosol science Pollution
440	Collapsed Variational Dirichlet Process Mixture Models∗ Max Welling Kenichi Kurihara Dept. of Computer Science Dept. of Computer Science UC Irvine, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-07-24 13:22:36 Expectation–maximization algorithm Dirichlet process Mixture model Latent Dirichlet allocation Normal distribution Factorial Markov chain Central limit theorem Bayesian inference Statistics Bayesian statistics Variational Bayesian methods

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