Mixture theory

Results: 438



#Item
101Robot control / Estimation theory / Markov models / Linear filters / Monte Carlo methods / Particle filter / Kalman filter / Mixture model / Mathematical model / Statistics / Software / Mathematics

Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang Laval University

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Source URL: www.cs.toronto.edu

Language: English - Date: 2014-07-17 17:28:27
102Markov models / Estimation theory / Bioinformatics / Hidden Markov model / Levenshtein distance / Expectation–maximization algorithm / Cross-validation / Mixture model / Statistics / Machine learning / Dynamic programming

A Generative Model for Rhythms Yves Grandvalet CNRS

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Source URL: bengio.abracadoudou.com

Language: English - Date: 2007-11-01 18:56:14
103Estimation theory / Statistical theory / Statistical models / Collaborative filtering / Recommender system / Regression analysis / Mixture model / Expectation–maximization algorithm / Cross-validation / Statistics / Machine learning / Information retrieval

Collaborative Prediction and Ranking with Non-Random Missing Data Benjamin M. Marlin Richard S. Zemel

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Source URL: people.cs.ubc.ca

Language: English - Date: 2009-08-17 20:00:28
104Multivariate statistics / Linear algebra / Estimation theory / Matrix theory / Statistical models / Principal component analysis / Matrix / Mixture model / Ensemble Kalman filter / Statistics / Algebra / Mathematics

Exploiting compositionality to explore a large space of model structures Roger B. Grosse Comp. Sci. & AI Lab MIT Cambridge, MA 02139

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Source URL: www.cs.toronto.edu

Language: English - Date: 2015-01-05 11:43:33
105Statistics / Science / Estimation theory / Computer accessibility / Speech recognition / Speech synthesis / Voice / Generalized method of moments / Maximum likelihood / Phonetics / Computational linguistics / Linguistics

Acoustic-to-Articulatory Inversion Mapping with Gaussian Mixture Model Tomoki TodaÝÞ , Alan W BlackÝ , Keiichi TokudaÞ Ý Þ

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Source URL: www.cs.cmu.edu

Language: English - Date: 2004-08-25 01:46:28
106Expectation–maximization algorithm / Missing data / Supervised learning / Maximum likelihood / Mixture model / Pattern recognition / Statistics / Machine learning / Estimation theory

Switchable Deep Network for Pedestrian Detection Ping Luo1,3,∗ Yonglong Tian1,∗ Xiaogang Wang2 Xiaoou Tang1,3 1

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Source URL: mmlab.ie.cuhk.edu.hk

Language: English - Date: 2014-04-29 03:32:31
107Mathematical analysis / Expectation–maximization algorithm / Missing data / Mixture model / Latent class model / Latent variable model / Weight function / Maximum likelihood / Statistics / Estimation theory / Statistical models

LATENT CLASS ANALYSIS WITH SAMPLING WEIGHTS: A MAXIMUM LIKELIHOOD APPROACH Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Jay Magidson Statistical Innovations Inc.

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2006-09-05 12:15:22
108Operations research / Machine learning / Estimation theory / Expectation–maximization algorithm / Missing data / Constraint algorithm / Mathematical optimization / Algorithm / XTR / Mathematics / Applied mathematics / Statistics

The Support Reduction Algorithm for Computing Non-Parametric Function Estimates in Mixture Models

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Source URL: www.stat.washington.edu

Language: English - Date: 2013-06-13 14:08:43
109Control theory / Stochastic differential equations / Kalman filter / Robot control / Q / Normal distribution / Markov chain / Linear model / Fixed effects model / Statistics / Markov models / Regression analysis

doi: j.1365-246Xx A new approach to time-dependent inversion of geodetic data using a Monte Carlo mixture Kalman filter Jun’ichi Fukuda,1 Tomoyuki Higuchi,2 Shin’ichi Miyazaki1 and Teruyuki Kato1

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Source URL: tswww.ism.ac.jp

Language: English - Date: 2004-09-16 20:37:56
110Linear algebra / Data analysis / Machine learning / Multivariate statistics / Cluster analysis / Mixture model / Normal distribution / Vector space / Variance / Algebra / Statistics / Mathematics

Learning Mixtures of Product Distributions using Correlations and Independence Kamalika Chaudhuri Information Theory and Applications, UC San Diego

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2011-01-01 02:41:47
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