Mixture theory - PDFSEARCH.IO - Document Search Engine

Mixture theory
Results: 438

#	Item
91	➠ ➡ 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
92	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
93	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
94	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
95	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
96	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-11-29 12:55:06 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
97	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
98	Infer.NET 101 A sample-based introduction to the basics of Microsoft Infer.NET programming Version 1.1 – SeptemberAbstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-10-27 09:26:54 Statistical theory Statistical inference Machine learning Normal distribution Probability distribution Mixture model Bayesian inference Conjugate prior Prior probability Statistics Probability and statistics Bayesian statistics
99	Microsoft Word - dellzhang_airs2006.doc Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-01-22 02:13:12 Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Naive Bayes classifier Statistics Estimation theory Statistical models
100	A multidimensial mixture model for unsupervised tail estimation Note no Add to Reading List Source URL: sfi.nr.no Language: English - Date: 2012-09-19 01:20:58 Statistical models Probability theory Estimation theory M-estimators Normal distribution Maximum likelihood Cumulative distribution function Pareto distribution Mixture model Statistics Probability and statistics Probability

UPDATE