Causal graph

Results: 21



#Item
1Metaphysics / Mathematics / Applied mathematics / Computational neuroscience / Graph theory / Artificial neural network / Market research / Mathematical psychology / Bayesian network / Causality / Graph rewriting / Motion planning

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

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Source URL: shukla.io

Language: English - Date: 2017-05-18 12:57:06
2Academia / Applied mathematics / Philosophy / Networks / Statistical models / Knowledge representation / Graph theory / Bayesian network / Causality / Artificial neural network / Motion planning / Graph rewriting

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

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Source URL: shukla.io

Language: English - Date: 2016-02-23 23:39:56
3Networks / Statistical models / Bayesian network / Causality / Graph theory / Bayesian inference / Graphical model / Causal model / Network theory / Directed acyclic graph / Pattern recognition / Dependency network

Causal Analysis for Troubleshooting and Decision Support System Byoung Uk Kim, Sonia Vohnout, Esko Mikkola Mingyang Li, Jian Liu

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Source URL: www.ridgetopgroup.com

Language: English - Date: 2015-07-18 01:30:09
4Philosophy / Philosophy of science / Epistemology / Metaphysics / Causality / Graphical models / Reasoning / Conditionals / Bayesian network / Determinism / Causal reasoning / Causal graph

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

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Source URL: ccdlab.rutgers.edu

Language: English - Date: 2015-03-24 11:58:24
5Philosophy of science / Graphical models / Causal inference / Statistical models / Causality / Conditionals / Causal reasoning / Causal graph / Bayesian network / Determinism / Statistics / Psychology

Cognitive Science–160 Copyright ! 2009 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: j01072.x Inferring Hidden Causal Structur

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Source URL: eccl.mit.edu

Language: English - Date: 2015-03-10 17:29:07
6Causality / Philosophy of science / Graphical models / Statistical inference / Causal inference / Causal graph / Bayesian network / Causal model / Determinism / Inductive reasoning / Bayesian inference / Clark Glymour

Using Physical Theories to Infer Hidden Causal Structure Thomas L. Griffiths Elizabeth R. Baraff & Joshua B. Tenenbaum

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Source URL: ccdlab.rutgers.edu

Language: English - Date: 2015-03-24 11:58:24
7Philosophy of science / Statistical theory / Graphical models / Reasoning / Statistical inference / Causality / Bayesian network / Prior probability / Causal graph / Causal reasoning / Causal model / Bayesian inference

Cognitive Psychology–29 Contents lists available at ScienceDirect Cognitive Psychology journal homepage: www.elsevier.com/locate/cogpsych

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Source URL: cocosci.berkeley.edu

Language: English - Date: 2014-12-23 17:24:19
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

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Source URL: www.stat.cmu.edu

Language: English - Date: 2012-05-01 00:27:49
    9Regression analysis / Graphical models / Causality / Philosophy of science / Counterfactual conditional / Structural equation modeling / Variable / Causal model / Graph / Statistics / Conditionals / Econometrics

    Alternative Graphical Causal Models and the Identification of Direct Effects James Robins Thomas Richardson

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    Source URL: www.csss.washington.edu

    Language: English - Date: 2010-03-30 19:56:18
    10Regression analysis / Covariance and correlation / Econometrics / Multivariate normal distribution / Normal distribution / Maximum likelihood / Covariance matrix / Directed acyclic graph / Linear regression / Statistics / Estimation theory / Data analysis

    Journal of Machine Learning Research3105 Submitted 11/13; Revised 5/14; PublishedHigh-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation

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    Source URL: jmlr.org

    Language: English - Date: 2014-11-02 15:50:43
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