Bayesian probability

Results: 1640



#Item
541Probability and statistics / Machine learning / Bioinformatics / Computational linguistics / Hidden Markov model / Pattern recognition / Speech recognition / Bayesian network / Forward–backward algorithm / Statistics / Markov models / Hierarchical hidden Markov model

Learning User Profile from Traces Ugo Galassi, Attilio Giordana and Dino Mendola Dipartimento di Informatica, Universit`a del Piemonte Orientale Spalto Marengo 33, Alessandria, Italy Abstract This paper presents a method

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Source URL: www.ugogalassi.net

Language: English - Date: 2005-09-14 02:53:00
542Hierarchical hidden Markov model / Hidden Markov model / Pattern recognition / Viterbi algorithm / Speech recognition / Forward–backward algorithm / Baum–Welch algorithm / Bayesian network / Markov models / Statistics / Probability and statistics

Learning Profiles based on Hierarchical Hidden Markov Model Ugo Galassi 1 , Attilio Giordana1, Lorenza Saitta1 , and Maco Botta2 1 Dipartimento di Informatica, Universit`

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Source URL: www.ugogalassi.net

Language: English - Date: 2005-09-14 02:53:00
543Probability and statistics / Probability distribution / Event / Naive Bayes classifier / Markov processes / Statistics / Probability theory / Bayesian statistics

1BC2: A True First-Order Bayesian Classifier Nicolas Lachiche1 and Peter A. Flach2 1 2

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:04:32
544Credible interval / Bayesian inference / Posterior probability / Prior probability / Probability interpretations / Frequency probability / P-value / Confidence interval / Probability / Statistics / Bayesian statistics / Statistical inference

A Brief Introduction to Bayesian Statistics Floyd Bullard The North Carolina School of Science and Mathematics NCTM 2001

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Source URL: courses.ncssm.edu

Language: English - Date: 2002-12-20 12:21:51
545Bayesian statistics / Estimation theory / Statistical models / Maximum likelihood / Naive Bayes classifier / Bayes estimator / Normal distribution / Bayesian inference / Parametric model / Statistics / Statistical theory / Statistical inference

Using Asymmetric Distributions to Improve Text Classifier Probability Estimates Paul N. Bennett Computer Science Dept. Carnegie Mellon University

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-05-09 22:52:37
546Bayesian network / Bayesian inference / Bayesian probability / Machine learning / Hierarchical Bayes model / Hidden Markov model / Causality / Naive Bayes classifier / Gibbs sampling / Statistics / Bayesian statistics / Probabilistic logic

Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:10:48
547Probability and statistics / Theoretical computer science / Bayesian statistics / Statistical models / Networks / Bayesian network / Markov random field / Mutual information / Algorithm / Statistics / Graphical models / Mathematics

Journal of Artificial Intelligence Research485 Submitted 1/09; published 7/09 Efficient Markov Network Structure Discovery Using Independence Tests

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Source URL: www.cs.iastate.edu

Language: English - Date: 2009-07-10 16:48:24
548Probability theory / Algebra of random variables / Geostatistics / Covariance / Variational Bayesian methods / Bayesian inference / Gaussian process / Hyperprior / Variance / Statistics / Bayesian statistics / Covariance and correlation

The GPML Toolbox version 3.5 Carl Edward Rasmussen & Hannes Nickisch March 25, 2015 Abstract The GPML toolbox is an Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian process (GP) models.

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Source URL: www.gaussianprocess.org

Language: English
549Bayesian statistics / Bayesian network / Normal distribution / Probability distribution / Statistical inference / Bayesian inference / Prior probability / Kullback–Leibler divergence / Conditional probability distribution / Statistics / Probability and statistics / Statistical theory

Inference in Hybrid Bayesian Networks using dynamic discretisation Martin Neil†‡ , Manesh Tailor‡ and David Marquez† † Department of Computer Science, Queen Mary, University of London ‡ Agena Ltd Abstract We

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Source URL: www.agena.co.uk

Language: English - Date: 2010-02-23 15:24:04
550Probability and statistics / Science / Bayesian statistics / Graphical models / Theoretical computer science / International Society for Music Information Retrieval / Hidden Markov model / Bayesian network / Pattern recognition / Statistics / Machine learning / Statistical models

11th International Society for Music Information Retrieval Conference (ISMIRA ROADMAP TOWARDS VERSATILE MIR Emmanuel Vincent INRIA

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Source URL: ismir2010.ismir.net

Language: English - Date: 2014-01-23 13:05:08
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