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Mixture model
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#	Item
181	An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2014-06-02 17:06:00 K-means clustering Cluster analysis Pattern recognition Supervised learning Linear classifier Expectation–maximization algorithm Object recognition Mixture model Algorithm Statistics Machine learning Unsupervised learning
182	Pattern Recognition – 3021 Rapid and brief communication www.elsevier.com/locate/patcog Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:39 Data mining Cluster analysis Mixture model Segmentation Statistical model Receiver operating characteristic Color model Expectation–maximization algorithm Statistics Image processing Machine learning
183	A DETERMINISTIC ANNEALING EM ALGORITHM FOR AUTOMATIC MUSIC TRANSCRIPTION Tian Cheng, Simon Dixon and Matthias Mauch Centre for Digital Music, Queen Mary University of London {tian.cheng, simon.dixon, matthias.mauch} @eec Add to Reading List Source URL: matthiasmauch.de Language: English - Date: 2014-01-28 06:16:13 Missing data Mixture model Statistics Estimation theory Expectation–maximization algorithm
184	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
185	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
186	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
187	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
188	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
189	Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation Ian Porteous David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-06-20 08:39:24 Dirichlet process Linear discriminant analysis Mixture model Topic model Speedup Gibbs sampling Sampling Statistics Statistical natural language processing Latent Dirichlet allocation
190	Statistical Models for Partial Membership Katherine A. Heller Sinead Williamson Zoubin Ghahramani Engineering Department, University of Cambridge, Cambridge, UK Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2008-07-10 10:03:44 Statistical models Machine learning Fuzzy clustering Mixture model Exponential family K-means clustering Conjugate prior Dimensional analysis Mixture distribution Statistics Probability and statistics Cluster analysis

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