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Hierarchical Bayes model
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#	Item
31	Who we are • MIT • Josh Tenenbaum • Computational Cognitive Science Group Our interests Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-03-06 18:49:35 Joshua Tenenbaum Bayesian inference Inference Hierarchical Bayes model Statistics Bayesian statistics Logic
32	• Organization: Quantitative Modeling Lab, Department of Psychology, Wichita State University • Lead Investigator: Edgar C. Merkle, PhD • Current Team Member: Robert Wood (WSU) Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-03-06 18:49:10 Hierarchical Bayes model Behavior Science Ethology Bayesian statistics Neuroscience Psychology
33	Learning & Behavior 2008, 36 (3), [removed]doi: [removed]LB[removed]Bayesian approaches to associative learning: From passive to active learning Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2008-07-01 21:18:32 Rescorla–Wagner model Bayesian probability Bayesian inference Recall Graphical model Estimation theory Hierarchical Bayes model Statistics Bayesian statistics Kalman filter
34	A Systematic Bayesian Treatment of the IBM Alignment Models Yarin Gal Department of Engineering University of Cambridge Cambridge, CB2 1PZ, United Kingdom [removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-05-18 12:41:37 Markov models Bayesian statistics Stochastic processes Statistical machine translation Hidden Markov model Bitext word alignment Dirichlet process Language model Hierarchical Bayes model Statistics Machine translation Statistical natural language processing
35	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
36	Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei [removed] Thomas L. Griffiths Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:54 Latent Dirichlet allocation Dirichlet process Mixture model Chinese restaurant process Topic model Hidden Markov model Hierarchy Information retrieval Bayes factor Statistics Statistical natural language processing Stochastic processes
37	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies Gal Elidan Computer Science Dept. Stanford University Stanford, CA 94305 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-11-05 13:44:45 Empirical Bayes method Conjugate prior Prior probability Naive Bayes classifier Bayes estimator Maximum likelihood Bayesian inference Hyperprior Likelihood function Statistics Bayesian statistics Hierarchical Bayes model
38	A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-04-08 16:06:46 Bayesian statistics Graphical models Cluster analysis Mixture model Record linkage Pattern recognition Supervised learning Bayesian network Naive Bayes classifier Statistics Machine learning Statistical models
39	Dependency Parsing with Dynamic Bayesian Network Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 01:14:17 N-gram Bayesian inference Bayesian network Dependency grammar Graphical model Expectation–maximization algorithm Markov chain Probabilistic logic Hierarchical Bayes model Statistics Bayesian statistics Probability and statistics
40	Prior near ignorance for inferences in the k-parameter exponential family A. Benavoli∗ and M. Zaffalon IDSIA, Galleria 2, CH-6928 Manno (Lugano), Switzerland This paper proposes a model of prior ignorance about a multi Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-10-08 09:39:14 Probability and statistics Prior probability Exponential map Exponential family Conjugate prior Exponential function Bayesian inference Hierarchical Bayes model Vehicle Identification Number Bayesian statistics Statistics Exponentials

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