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Probability and statistics
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#	Item
681	PDF Document Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-03-20 19:18:22 Graphical models Statistical models Bayesian statistics Conditional random field Theoretical computer science Information extraction Expectation–maximization algorithm Bayesian network Pattern recognition Statistics Machine learning Probability and statistics
682	PDF Document Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Parameter Variance Probability and statistics Mathematics Statistics Noncentral beta distribution Lambda
683	Journal of Machine Learning Research2411 Submitted 2/08; Revised 4/09; PublishedExploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-10-29 15:36:42 Applied mathematics Probability theory Graphical models Probability distribution Random variable Parameter Correlation and dependence Time complexity Bayesian network Theoretical computer science Mathematics Probability and statistics
684	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics
685	Mining the Web With Active Hidden Markov Models Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:12:44 Probability and statistics Hidden Markov model Maximum-entropy Markov model Speech recognition Forward–backward algorithm Markov chain Baum–Welch algorithm Expectation–maximization algorithm Algorithm Markov models Statistics Machine learning
686	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
687	Identification of Roughness in Compound Channels Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:36:47 Tribology Normal distribution Piping Physics Knowledge Probability and statistics Hydraulic engineering Mechanical engineering Metalworking terminology Surface roughness
688	Loss Distribution Estimation, Scenario Data and Bayesian Inference Add to Reading List Source URL: www.bostonfed.org Language: English - Date: 2007-11-20 17:27:49 Bayesian statistics Bayesian inference Statistical models Prior probability Bayes estimator Maximum a posteriori estimation Maximum likelihood Statistical inference Probability box Statistics Statistical theory Estimation theory
689	A Z-theorem with Estimated Nuisance Parameters and Correction Note for ‘Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression’ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2009-06-25 19:10:10 Empirical process Probability theory Glivenko–Cantelli theorem Maximum likelihood Statistics Statistical theory Non-parametric statistics
690	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

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