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Bayesian network
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81	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
82	Factored Filtering of Continuous-Time Systems E. Busra Celikkaya Christian R. Shelton University of California, Riverside University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-06-23 16:38:35 Markov models Markov processes KullbackLeibler divergence Statistical theory Thermodynamics Probability distributions Uniformization Expectationmaximization algorithm Markov chain Bayesian network Stochastic matrix
83	Learning Extended Tree Augmented Naive StructuresI Cassio P. de Camposa,∗, Giorgio Coranib , Mauro Scanagattab , Marco Cuccuc , Marco Zaffalonb b Istituto a Queen’s University Belfast, UK Dalle Molle di Studi sull’ Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-03-17 09:50:40 Statistical classification Machine learning Naive Bayes classifier Supervised learning Averaged one-dependence estimators Bayesian network Feature selection Minimum spanning tree X0
84	Using Probabilistic Models for Data Management in Acquisitional Environments Amol Deshpande∗ University of Maryland Add to Reading List Source URL: www-db.cs.wisc.edu Language: English - Date: 2011-09-16 15:44:48 Data management Wireless sensor network Query optimization SQL Data stream management system Database Relational model Sensor node Bayesian network Uncertain data
85	Stacked Calibration of Off-Policy Policy Evaluation for Video Game Matchmaking Eric Laufer∗ , Raul Chandias Ferrari∗ , Li Yao∗ , Olivier Delalleau† and Yoshua Bengio∗ ∗ Dept. IRO, University of Montreal Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Artificial neural network Computational neuroscience Mathematical psychology Reinforcement learning Generalization error Deep learning Bayesian network Economic model Robust statistics Expected value Statistics Machine learning
86	MSc in Data Science The Science Faculty at UCT will offer an interdisciplinary degree in Data Science fromParticipating departments are Statistical Sciences, Computer Science, Astronomy, Physics, and the Bioinform Add to Reading List Source URL: www.cbio.uct.ac.za Language: English - Date: 2016-07-25 05:23:06 Formal sciences Data Bioinformatics Statistics Big data Data science Data mining Scientific modelling Data analysis Computer science Artificial neural network Bayesian network
87	Budgeted Online Collective Inference Jay Pujara University of Maryland Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2015-07-31 17:33:33 Graphical models Statistical theory Probability theory Statistical models Bayesian inference Statistical inference Bayesian network Markov random field Belief propagation Scala First-order logic Loss function
88	Sparse Learning of Markovian Population Models in Random Environments Christoph Zechner1 , Federico Wadehn1 , and Heinz Koeppl1,2,3 1 arXiv:1401.4026v1 [q-bio.QM] 16 Jan 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-16 20:42:47 Probability distributions Infinitely divisible probability distributions Statistical theory Exponentials Markov models Variational Bayesian methods Gamma distribution Bayesian network KullbackLeibler divergence Bayesian inference Expectationmaximization algorithm Markov chain
89	Testing Models of Social Learning on Networks Add to Reading List Source URL: thred.devecon.org Language: English - Date: 2016-05-27 15:28:06 Statistical models Statistical inference Statistical theory Bayesian network Networks Bayesian inference Bayesian statistics Prior probability Bayesian probability
90	Model-Based Inference About IR Systems Ben Carterette Dept. of Computer & Info Sciences, University of Delaware, Newark, DE, USA Abstract. Researchers and developers of IR systems generally want to Add to Reading List Source URL: ir.cis.udel.edu Language: English - Date: 2011-08-13 09:04:14 Statistical inference Econometrics Statistical theory Psychometrics Statistical models Bayesian inference Bayesian network Normal distribution Statistical hypothesis testing Linear regression Regression analysis Bootstrapping

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