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Mixture model
Results: 969

#	Item
231	A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-20 12:49:52 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Topic model Expectation–maximization algorithm Mixture model Dirichlet process Dirichlet distribution Statistics Statistical natural language processing Bayesian statistics
232	➠ ➡ SPECTRAL CONVERSION BASED ON MAXIMUM LIKELIHOOD ESTIMATION CONSIDERING GLOBAL VARIANCE OF CONVERTED PARAMETER Tomoki Toda†‡ , Alan W Black† , Keiichi Tokuda‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-02-24 15:57:00 Generalized method of moments Mixture model Variance Normal distribution Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
233	9 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt* Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-10-27 13:09:12 Econometrics Statistical models Categorical data Imputation Data analysis Poisson regression Maximum likelihood Missing data Mixture model Statistics Estimation theory Regression analysis
234	A Probabilistic Model for Learning Multi-Prototype Word Embeddings Fei Tian† , Hanjun Dai∗ , Jiang Bian‡ , Bin Gao‡ , Rui Zhang? , Enhong Chen† , Tie-Yan Liu‡ † University of Science and Technology of China Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:19 Information retrieval Cluster analysis Machine learning Mixture model Embedding Vector space model Expectation–maximization algorithm Statistics Mathematics Probability and statistics
235	Multi-View Super Vector for Action Recognition Zhuowei Cai1 , Limin Wang1,2 , Xiaojiang Peng1 , Yu Qiao1,2∗ 1 Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, CAS Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2014-05-18 15:54:05 Multivariate statistics Vector calculus Singular value decomposition Estimation theory Expectation–maximization algorithm Missing data Principal component analysis Mixture model Eigenvalues and eigenvectors Statistics Algebra Mathematics
236	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
237	A Distance Model for Rhythms Jean-Fran¸ cois Paiement Yves Grandvalet IDIAP Research Institute, Case Postale 592, CH-1920 Martigny, Switzerland Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2008-06-27 10:33:55 Dynamic programming Bioinformatics Estimation theory Hidden Markov model Machine learning Levenshtein distance Expectation–maximization algorithm Mixture model Statistics Probability and statistics Markov models
238	FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS Heng Lu, Simon King The Centre for Speech Technology Research, The University of Edinburgh, UK , ABSTRACT Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-04-25 21:11:16 Bayesian statistics Markov models Computational linguistics Graphical models Hidden Markov model Bayesian network Speech recognition Mixture model Expectation–maximization algorithm Statistics Statistical models Probability and statistics
239	CFE-ERCIM PROGRAMME CHANGES • Cancellations: Abstract C135: H. Suenaga. Estimating a term-structure model of commodity prices with heteroskedastic measurement error. Session CS76. Modelling the term structure of intere Add to Reading List Source URL: www.cfenetwork.org Language: English - Date: 2013-12-13 11:12:26 Time series Autoregressive conditional heteroskedasticity Regression analysis Scientific modelling Economic model Bayesian econometrics Mixture model Dynamic stochastic general equilibrium Statistics Econometrics Economics
240	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models

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