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Causal graph
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#	Item
1	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand Add to Reading List Source URL: shukla.io Language: English - Date: 2017-05-18 12:57:06 Metaphysics Mathematics Applied mathematics Computational neuroscience Graph theory Artificial neural network Market research Mathematical psychology Bayesian network Causality Graph rewriting Motion planning
2	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand Add to Reading List Source URL: shukla.io Language: English - Date: 2016-02-23 23:39:56 Academia Applied mathematics Philosophy Networks Statistical models Knowledge representation Graph theory Bayesian network Causality Artificial neural network Motion planning Graph rewriting
3	Causal Analysis for Troubleshooting and Decision Support System Byoung Uk Kim, Sonia Vohnout, Esko Mikkola Mingyang Li, Jian Liu Add to Reading List Source URL: www.ridgetopgroup.com Language: English - Date: 2015-07-18 01:30:09 Networks Statistical models Bayesian network Causality Graph theory Bayesian inference Graphical model Causal model Network theory Directed acyclic graph Pattern recognition Dependency network
4	Modeling Cross-Domain Causal Learning in Preschoolers as Bayesian Inference Elizabeth Baraff Bonawitz () Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MAU Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Philosophy Philosophy of science Epistemology Metaphysics Causality Graphical models Reasoning Conditionals Bayesian network Determinism Causal reasoning Causal graph
5	Cognitive Science–160 Copyright ! 2009 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: j01072.x Inferring Hidden Causal Structur Add to Reading List Source URL: eccl.mit.edu Language: English - Date: 2015-03-10 17:29:07 Philosophy of science Graphical models Causal inference Statistical models Causality Conditionals Causal reasoning Causal graph Bayesian network Determinism Statistics Psychology
6	Using Physical Theories to Infer Hidden Causal Structure Thomas L. Griffiths Elizabeth R. Baraff & Joshua B. Tenenbaum Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Causality Philosophy of science Graphical models Statistical inference Causal inference Causal graph Bayesian network Causal model Determinism Inductive reasoning Bayesian inference Clark Glymour
7	Cognitive Psychology–29 Contents lists available at ScienceDirect Cognitive Psychology journal homepage: www.elsevier.com/locate/cogpsych Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-12-23 17:24:19 Philosophy of science Statistical theory Graphical models Reasoning Statistical inference Causality Bayesian network Prior probability Causal graph Causal reasoning Causal model Bayesian inference
8	Chapter 25 Discovering Causal Structure from Observations The last few chapters have, hopefully, convinced you that when you want to do causal inference, knowing the causal graph is very helpful. We have looked at how i Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-05-01 00:27:49
9	Alternative Graphical Causal Models and the Identification of Direct Effects James Robins Thomas Richardson Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2010-03-30 19:56:18 Regression analysis Graphical models Causality Philosophy of science Counterfactual conditional Structural equation modeling Variable Causal model Graph Statistics Conditionals Econometrics
10	Journal of Machine Learning Research3105 Submitted 11/13; Revised 5/14; PublishedHigh-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:50:43 Regression analysis Covariance and correlation Econometrics Multivariate normal distribution Normal distribution Maximum likelihood Covariance matrix Directed acyclic graph Linear regression Statistics Estimation theory Data analysis