Review TRENDS in Cognitive Sciences Vol.8 No.8 August 2004

Source URL: eccl.mit.edu

• Statistics
• Philosophy
• Logic
• Conditionals
• Graphical models
• Statistical inference
• Statistical models
• Philosophy of science
• Causality
• Bayesian network
• Conditional probability
• Counterfactual conditional

Sparse Bayesian Multi-Task Learning C´edric Archambeau, Shengbo Guo, Onno Zoeter Xerox Research Centre Europe {Cedric.Archambeau, Shengbo.Guo, Onno.Zoeter}@xrce.xerox.com

Source URL: www0.cs.ucl.ac.uk

Tractable Bayesian Social Learning on Trees Yashodhan Kanoria∗ and Omer Tamuz† April 16, 2012 Abstract We study a model of Bayesian agents in social networks who learn from the actions of their

Source URL: people.hss.caltech.edu

• Statistics
• Statistical models
• Graphical models
• Bayesian network
• Networks
• Bayesian inference
• Algorithm
• Belief propagation

Bayesian Inference: An Introduction to Principles and Practice in Machine Learning Michael E. Tipping Microsoft Research, Cambridge, U.K. ....................................................................

Source URL: www.miketipping.com

Solving Imperfect Information Games Using Decomposition Neil Burch, Michael Johanson and Michael Bowling Computing Science Department, University of Alberta {nburch,johanson,mbowling}@ualberta.ca Abstract

Source URL: poker.cs.ualberta.ca

• Game theory
• Subgame
• Solution concept
• Extensive-form game
• Nash equilibrium
• Information set
• Epsilon-equilibrium
• Strategy
• Subgame perfect equilibrium
• Bayesian game

DOIjqas      JQAS 2013; 9(1): 97–111 Robert B. Gramacy*, Shane T. Jensen and Matt Taddy Estimating player contribution in hockey with regularized logistic regression

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Statistical theory
• Regression analysis
• Linear regression
• Least squares
• Logistic regression
• Ordinary least squares
• Prior probability
• Bayesian linear regression
• Bayesian inference
• Normal distribution
• Statistical power

Bandits, Active Learning, Bayesian RL and Global Optimization – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart Mach

Source URL: mlss.tuebingen.mpg.de

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

Source URL: ccdlab.rutgers.edu

• Causality
• Philosophy of science
• Graphical models
• Statistical inference
• Causal inference
• Causal graph
• Bayesian network
• Causal model
• Determinism
• Inductive reasoning
• Bayesian inference
• Clark Glymour

Bayesian multilevel models: Fundamentals Tom Loredo Dept. of Astronomy, Cornell University http://www.astro.cornell.edu/staff/loredo/

Source URL: astrostatistics.psu.edu

Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

Source URL: mlg.eng.cam.ac.uk