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Mixture model
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#	Item
251	Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:34:08 Discriminative model Hidden Markov model Generalized linear model Maximum likelihood Statistical model Statistical classification Logistic function Mixture model Perceptron Statistics Machine learning Conditional random field
252	Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang Laval University Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-07-17 17:28:27 Robot control Estimation theory Markov models Linear filters Monte Carlo methods Particle filter Kalman filter Mixture model Mathematical model Statistics Software Mathematics
253	2.0 The properties of mixtures and fluids can be explained by the particle model of matter 2.1 Pure Substances and Mixtures All pure substances have their own unique set of properties, or characteristics All mixtures con Add to Reading List Source URL: www.edquest.ca Language: English - Date: 2014-02-28 13:55:41 Colloidal chemistry Dosage forms Chromatography Solubility Mixture Concentration Paper chromatography Suspension Aqueous solution Chemistry Solutions Chemical properties
254	Automatic Labeling of Multinomial Topic Models Qiaozhu Mei, Xuehua Shen, Chengxiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign Urbana,IL 61801 {qmei2,xshen,czhai}@uiuc.edu Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2007-06-23 17:18:53 Natural language processing Computational linguistics Information retrieval Machine learning Topic model Dynamic topic model Probabilistic latent semantic analysis Mixture model Latent Dirichlet allocation Statistics Statistical natural language processing Science
255	A Generative Model for Rhythms Yves Grandvalet CNRS Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2007-11-01 18:56:14 Markov models Estimation theory Bioinformatics Hidden Markov model Levenshtein distance Expectation–maximization algorithm Cross-validation Mixture model Statistics Machine learning Dynamic programming
256	A Speaker Verification System Under The Scope: Alize Ett system för talarverifiering under luppen: Alize TOMMIE GANNERT Add to Reading List Source URL: www.speech.kth.se Language: English Speech processing Machine learning Statistical models Biometrics Speaker recognition Hidden Markov model Speech recognition Mixture model Normal distribution Statistics Probability and statistics Automatic identification and data capture
257	Collaborative Prediction and Ranking with Non-Random Missing Data Benjamin M. Marlin Richard S. Zemel Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2009-08-17 20:00:28 Estimation theory Statistical theory Statistical models Collaborative filtering Recommender system Regression analysis Mixture model Expectation–maximization algorithm Cross-validation Statistics Machine learning Information retrieval
258	Exploiting compositionality to explore a large space of model structures Roger B. Grosse Comp. Sci. & AI Lab MIT Cambridge, MA 02139 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-01-05 11:43:33 Multivariate statistics Linear algebra Estimation theory Matrix theory Statistical models Principal component analysis Matrix Mixture model Ensemble Kalman filter Statistics Algebra Mathematics
259	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
260	Acoustic-to-Articulatory Inversion Mapping with Gaussian Mixture Model Tomoki TodaÝÞ , Alan W BlackÝ , Keiichi TokudaÞ Ý Þ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-08-25 01:46:28 Statistics Science Estimation theory Computer accessibility Speech recognition Speech synthesis Voice Generalized method of moments Maximum likelihood Phonetics Computational linguistics Linguistics

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