Cognitive Science–618 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsInferring Learners’ Knowledge From Their Ac

Source URL: cocosci.berkeley.edu

• Dynamic programming
• Markov processes
• Stochastic control
• Cognitive science
• Probability theory
• Markov decision process
• Reinforcement learning
• Theory of mind
• Probability
• Psychology
• Cognition

JMLR: Workshop and Conference Proceedings vol–26 24th Annual Conference on Learning Theory Regret Bounds for the Adaptive Control of Linear Quadratic Systems

Source URL: webdocs.cs.ualberta.ca

Microsoft Word - Baxter_Magolda revised january 20

Source URL: parents.ucsd.edu

• Education
• Educational psychology
• Cognition
• Transformative learning
• Self-authorship
• Learning
• Educational technology
• Self-regulated learning
• Learning theory

Rule Fusion for the Imitation of a Human Tutor Vincent Scesa, Cl´ement Ra¨ıevsky, St´ephane Sanchez, Herv´e Luga and Yves Duthen Abstract— In virtual worlds, character credibility suffers from an increasing discre

Source URL: game.itu.dk

• Artificial intelligence
• Social learning theory
• Percept
• Ethology
• Imitation
• Artificial neural network
• Gaussian function
• Simulation

Personalized Exams and Learning in Massive Open Online Courses Pushkar Kolhe Georgia Institute of Technology, 810 Atlantic Drive., Atlanta, GAUSA Dr. Michael L. Littman Brown University, 115 Waterman St. Providen

Source URL: crowdml.cc

• Educational psychology
• Psychometrics
• Standardized tests
• Standards-based education
• Free software
• Massive open online course
• Test
• Bayesian game
• Educational assessment
• Item response theory
• Educational technology

First-Order Mixed Integer Linear Programming Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213

Source URL: select.cs.cmu.edu

• Logic
• Mathematical logic
• Abstraction
• Automated theorem proving
• Model theory
• Predicate logic
• Semantics
• Boolean algebra
• Resolution
• Cutting-plane method
• First-order logic
• Propositional calculus

Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms David F. Gleich Computer Science Department Purdue University West Lafayette, IN

Source URL: www.stat.berkeley.edu

• Graph theory
• Mathematics
• NP-complete problems
• Graph partition
• Connectivity
• Graph coloring
• Graph
• Nonlinear dimensionality reduction
• Vertex
• SPQR tree
• Signed graph

THE SPEED OF SOCIAL LEARNING MATAN HAREL, ELCHANAN MOSSEL, PHILIPP STRACK, AND OMER TAMUZ Abstract. We consider two Bayesian agents who learn from exogenously provided private signals, as well as the actions of the other

Source URL: people.hss.caltech.edu

• Estimation theory
• Statistical theory
• Statistics
• Bayesian statistics
• Likelihood function
• Statistical inference

Towards a Learning Theory of Cause-Effect Inference A. Topological and Measurability Considerations Let (Z, ⌧Z ) and (L, ⌧L ) be two separable topological spaces, where Z is the input space and L := { 1, 1} is the o

Source URL: www.jmlr.org

Understanding Personal Learning Environments: Literature review and synthesis through the Activity Theory lens Ilona Buchem, Beuth University of Applied Sciences Berlin, Germany – _buchem__@__beuth__-__hochschule__.__d

Source URL: journal.webscience.org