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Bayesian probability
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#	Item
31	Learning Symmetric Relational Markov Random Fields A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:33 Graphical models Statistics Probability Statistical theory Variable elimination Markov random field Markov chain Belief propagation Conceptual model Bayesian network Deep learning
32	Journal of Web Engineering, Vol. 0, No–000 c Rinton Press The Static Absorbing Model for the Weba Add to Reading List Source URL: terrierteam.dcs.gla.ac.uk Language: English - Date: 2010-03-05 12:05:34 Markov models Probability theory Probability Statistics Markov chain PageRank Bayesian network Random walk Stochastic matrix Matrix Automatic summarization Discrete phase-type distribution
33	Probabilistic Graphical ModelsSubmitted 4/00; Publishedd-VMP: Distributed Variational Message Passing Add to Reading List Source URL: amidst.github.io Language: English - Date: 2016-08-19 06:41:17 Statistics Mathematical analysis Probability Probability distributions Estimation theory Variational message passing Statistical models Exponential family Gamma distribution Variational Bayesian methods Normal distribution Bayesian network
34	Using a Bayesian Approach for Claims Reserving by Mario V. Wu¨ thrich ABSTRACT Add to Reading List Source URL: www.variancejournal.org Language: English - Date: 2008-01-21 15:27:35 Statistics Actuarial science Statistical theory Statistical models Probability distributions Bias of an estimator Bayesian network Bornhuetter-Ferguson method Bayesian inference Credibility theory Variance Gamma distribution
35	PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel† Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2015-07-18 05:41:54 Statistics Probability Monte Carlo methods Computational statistics Estimation theory Markov models Robot control Particle filter Auxiliary particle filter Hidden Markov model Normal distribution Resampling
36	Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS Efﬁcient representation and P-value computation for Add to Reading List Source URL: pbil.univ-lyon1.fr Language: English - Date: 2008-10-22 02:35:22 Statistics Probability Machine learning Markov models Statistical models Bioinformatics Estimation theory Graph theory Markov chain Dynamic programming Bayesian network Sequence motif
37	The 2012 ICSI/Berkeley Video Location Estimation System Jaeyoung Choi, Gerald Friedland International Computer Science Institute 1947 Center St., Suite 600 Berkeley, CA 94704, USA Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-10-02 11:32:14 Statistics Estimation theory Expectationmaximization algorithm Missing data Variance Variational Bayesian methods Probability distributions Statistical models
38	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-11-10 21:50:33 Machine learning Graphical models Probability Statistics Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Support vector machine Markov chain
39	ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC: Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-10-08 14:59:19 Statistics Machine learning Probability Statistical models Graphical models Bayesian statistics Markov networks Statistical relational learning Probabilistic soft logic Markov random field Structured prediction Expectationmaximization algorithm
40	MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org Add to Reading List Source URL: treethinkers.org Language: English - Date: 2014-03-09 14:13:45 Statistics Statistical theory Probability Bayesian statistics Bioinformatics Computational phylogenetics Command shells Probability distributions Markov chain Monte Carlo Substitution model IBM i Control Language Command-line interface