Context-Sensitive Induction Patrick Shafto1 , Charles Kemp1 , Elizabeth Baraff1 , John D. Coley2 , & Joshua B. Tenenbaum1 1 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology 2

Source URL: ccdlab.rutgers.edu

• Reasoning
• Inductive reasoning
• Philosophy of science
• Statistical inference
• Critical thinking
• Causality
• Concept learning
• Bayesian network
• Inference
• Bayesian inference
• Theory
• Argument

326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Source URL: decsai.ugr.es

• Statistics
• Statistical theory
• Bayesian statistics
• Conjugate prior
• Hyperprior
• Normal distribution
• Bayesian inference
• Hyperparameter
• Bayesian network
• Prior probability
• Hidden Markov model
• Maximum likelihood estimation

Augmented sustainability measures for Scotland John C.V. Pezzey, Nick Hanley, Karen Turner and Dugald Tinch Australian National University Economics and Environment Network Working Paper

Source URL: een.anu.edu.au

• Economics
• Economy
• Valuation
• Inventory
• Stock and flow
• Systems theory
• Sustainability
• Depreciation
• Solow residual
• SolowSwan model

REV_ISS_WEB_COGS_12101_38

Source URL: cocosci.berkeley.edu

• Statistics
• Statistical theory
• Statistical inference
• Philosophy of science
• Bayesian statistics
• Bayesian network
• Bayesian inference
• Bayesian probability
• Decision theory
• Prior probability
• Concept learning
• Markov chain Monte Carlo

Selfish routing with oblivious users George Karakostas1? , Taeyon Kim1?? , Anastasios Viglas2 , and Hao Xia1? ? ? 1 2

Source URL: www.cas.mcmaster.ca

• Mathematics
• Computational complexity theory
• Graph theory
• Game theory
• Price of anarchy
• Net
• Flow network
• NC
• Shortest path problem
• Closed and exact differential forms

Is Holism A Problem For Inductive Inference? A Computational Analysis Maxwell A. Bertolero () Thomas L. Griffiths (tom ) Department of Psychology & Helen Wills Neuroscience Ins

Source URL: cocosci.berkeley.edu

• Network theory
• Graph theory
• Networks
• Statistical models
• Algebraic graph theory
• Community structure
• Modularity
• Connectivity
• Bayesian network
• Graphical model
• Graph
• Clique

Geometric Ad-Hoc Routing: Of Theory and Practice∗ Fabian Kuhn, Roger Wattenhofer, Yan Zhang, Aaron Zollinger Department of Computer Science ETH Zurich 8092 Zurich, Switzerland {kuhn, wattenhofer, yzhang, zollinger}@inf

Source URL: disco.ethz.ch

• Graph theory
• Mathematics
• Routing algorithms
• Edsger W. Dijkstra
• NP-complete problems
• Network theory
• Geographic routing
• Shortest path problem
• Geometric spanner
• Routing
• Planar graph
• Unit disk graph

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Source URL: cocosci.berkeley.edu

• Statistics
• Statistical theory
• Estimation theory
• Probability distributions
• Regression analysis
• Parametric statistics
• Normal distribution
• Bayesian network
• Linear regression
• Bayesian inference
• Variance
• Mode

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of

Source URL: cocosci.berkeley.edu

• Statistics
• Artificial intelligence
• Machine learning
• Cognition
• Computational neuroscience
• Concept learning
• Learning theory
• ImageNet
• Artificial neural network
• Supervised learning
• Support vector machine
• Probability distribution

Progress in ‘Chemical Reaction Network Theory’ Organizers: Carsten Wiuf (University of Copenhagen, DK), Elisenda Feliu (University of Copenhagen, DK) Monday, July 2, 17:15–19:15, Medium Hall B Talks: Casian Pantea

Source URL: www.6ecm.pl