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Bayesian network
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151	Competing process hazard function models for player ratings in ice hockey Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2013-10-03 09:38:03 Statistics Statistical theory Statistical models Probability distributions Estimation theory Regression analysis Normal distribution Bayesian network Maximum likelihood estimation Linear regression Conjugate prior Parameter
152	research-article2015 CDPXXX10.1177/0963721414556653Gopnik et al.Flexibility and Open-Mindedness in Younger Learners Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-10-08 17:16:15 Cognition Cognitive science Academia Learning Philosophy of science Educational psychology Alison Gopnik Causality Bayesian network Bayesian inference Machine learning Cognitive flexibility
153	June 3, 2016 Shane T. Jensen Department of Statistics The Wharton School University of Pennsylvania Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-06-07 15:34:04 Statistics Statistical theory Knowledge Bioinformatics Bayesian network Jun S. Liu Bayesian
154	Closing the Gap Between Short and Long XORs for Model Counting Shengjia Zhao Sorathan Chaturapruek Computer Science Department Computer Science Department Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:53 Computational complexity theory Convex optimization Probability Mathematics Coding theory Error detection and correction Low-density parity-check code PP Bayesian network Linear programming
155	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: ccdlab.rutgers.edu Language: English Philosophy of science Reasoning Statistical inference Statistical theory Causality Inductive reasoning Bayesian network Inference Psychology Causal model Prediction Statistics
156	Preschoolers sample from probability distributions Stephanie Denison () Elizabeth Baraff Bonawitz (liz ) Alison Gopnik () Thomas L. Griffiths (tom griffiths@berkeley. Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistics Philosophy Knowledge Philosophy of science Statistical inference Design of experiments Hypothesis testing Reasoning Statistical hypothesis testing Bayesian inference Bayesian network Causality
157	Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:52 Markov models Relational model Machine learning Probability distribution Bayesian network Reinforcement learning Relational data mining Loss function
158	Bayesian Network Inference Approach to probe Foodweb interactions between herring and zooplankton in the Irish Sea Add to Reading List Source URL: ndmitchell.com Language: English - Date: 2016-04-19 09:56:22 Software engineering Computer programming Declarative programming Literate programming Functional programming Monad Haskell Inline expansion First-order logic
159	Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English Statistics Philosophy Logic Statistical inference Philosophy of science Statistical theory Reasoning Bayesian inference Statistical forecasting Bayesian network Bayesian statistics Inductive reasoning
160	Children and adults differ in their strategies for social learning Falk Lieder1 () Zi Lin Sim1 () Jane C. Hu () Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-07-16 02:22:19 Cognitive science Statistics Bayesian statistics Cognition Education Bayesian inference Statistical forecasting Bayesian network Strategy Metacognition Prior probability

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