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Graphical models
Results: 1083

#	Item
751	Distributed Parallel Inference on Large Factor Graphs Joseph E. Gonzalez Carnegie Mellon University [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Graphical models NP-complete problems Belief propagation Coding theory Probability theory Factor graph Parallel algorithm Graph partition Distributed computing Graph theory Mathematics Theoretical computer science
752	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-06-03 16:00:44 Markov models Probability theory Markov chain Monte Carlo Graphical models Gibbs sampling Monte Carlo methods Markov chain Ergodic theory Hidden Markov model Graph theory Statistics Mathematics
753	1 Bayesian Logic Programming: Theory and Tool Kristian Kersting Institute for Computer Science, Machine Learning Lab Albert-Ludwigs-Universit¨ Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-02-02 14:16:03 Graphical models Networks Philosophy of science Probability and statistics Science Bayesian network Markov random field Bayesian probability Conditional independence Bayesian statistics Statistics Probability theory
754	Beyond Covariation 1 Beyond covariation: Cues to causal structure David A. Lagnado1, Michael R. Waldmann2, York Hagmayer2, and Steven A. Sloman3 Add to Reading List Source URL: www.psych.uni-goettingen.de Language: English - Date: 2012-02-19 14:06:46 Statistical models Causality Conditionals Philosophy of science Graphical models Bayesian network Causal model Correlation and dependence Model Statistics Science Physics
755	Memory & Cognition 2009, 37 (3), [removed]doi:[removed]MC[removed]The role of learning data in causal reasoning about observations and interventions Add to Reading List Source URL: www.psych.uni-goettingen.de Language: English - Date: 2013-05-19 11:58:01 Philosophy of science Conditionals Statistical models Causality Graphical models Bayesian network Confounding Determinism Mental model Science Information Statistics
756	Ecology, 93(8), 2012, pp. 1809–1815 Ó 2012 by the Ecological Society of America A generalized approach to modeling and estimating indirect effects in ecology YANN CLOUGH1 Add to Reading List Source URL: worldcocoafoundation.org Language: English - Date: 2013-08-05 18:25:57 Statistical models Econometrics Graphical models Mediation Causality Bayesian inference Mixed model Gibbs sampling Structural equation modeling Statistics Regression analysis Statistical methods
757	Development Projects for the Causality Workbench Isabelle Guyon Jean-Philippe Pellet Alexander Statnikov Add to Reading List Source URL: ai-d.org Language: English - Date: 2010-04-24 15:52:30 Graphical models Econometrics Causality Statistical models Conditionals Structural equation modeling Causal model Bayesian network Psychology Statistics Science Knowledge
758	Causal Structure Learning for Famine Prediction Ernest Mwebaze and Washington Okori and John A. Quinn Faculty of Computing & IT Makerere University P.O. Box 7062, Kampala, Uganda {emwebaze, wokori, jquinn}@cit.mak.ac.ug Add to Reading List Source URL: ai-d.org Language: English - Date: 2010-04-24 15:52:44 Causality Bayesian network Graphical model Causal model Artificial neural network Regression analysis Machine learning Latent variable Synthetic data Statistics Statistical models Bayesian statistics
759	Message Passing Inference with Chemical Reaction Networks Nils Napp and Ryan Prescott Adams School of Engineering and Applied Sciences Harvard University Cambridge, MA 02138 Add to Reading List Source URL: hips.seas.harvard.edu Language: English - Date: 2013-11-09 11:09:30 Networks Mathematics Bayesian statistics Statistical models Probability theory Factor graph Belief propagation Bayesian network Gene regulatory network Graphical models Graph theory Statistics
760	Human Behavior Modeling with Maximum Entropy Inverse Optimal Control Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]bziebart@c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-07-28 15:01:21 Bayesian statistics Graphical models Statistical models Markov models Markov chain Reinforcement learning Bayesian network Markov decision process Maximum likelihood Statistics Probability and statistics Statistical theory

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