Machine Learning Foundations (機器學習基石) Lecture 6: Theory of Generalization Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

Source URL: ccdlab.rutgers.edu

• Statistical inference
• Statistical theory
• Philosophy of science
• Sampling techniques
• Psychometrics
• Bayesian inference
• Statistics
• Monte Carlo method
• Statistical hypothesis testing
• Sampling
• Causality
• Bayesian network

Learning Policies for Contextual Submodular Prediction Stephane Ross Jiaji Zhou Yisong Yue Debadeepta Dey

Source URL: select.cs.cmu.edu

• Submodular set function
• Automatic summarization
• Statistical classification
• Number theory
• Support vector machine
• Machine learning
• Reinforcement learning
• Mathematical optimization
• Distribution

Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

Source URL: www.cc.gatech.edu

• Statistics
• Statistical classification
• Statistical theory
• Probability
• Ensemble learning
• K-nearest neighbors algorithm
• Prior probability
• Monte Carlo method

Towards a Learning Theory of Cause-Effect Inference David Lopez-Paz1,2 Krikamol Muandet1 Bernhard Sch¨olkopf1 Ilya Tolstikhin1

Source URL: www.jmlr.org

Social Learning Methods in Board Game Agents Vukosi N. Marivate, Student Member, Tshilidzi Marwala, Senior Member, IEEE this has on the overall performance of the different agents created. This paper focuses on improving

Source URL: www.csse.uwa.edu.au

• Cognitive science
• Cognition
• Artificial intelligence
• Academia
• Multi-agent systems
• Belief revision
• Complex systems theory
• Simulation
• Intelligent agent
• Reinforcement learning
• Q-learning
• Agent-based model

Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

Source URL: www.csse.uwa.edu.au

• Machine learning
• Artificial intelligence
• Game artificial intelligence
• Applied mathematics
• Computational neuroscience
• Game theory
• Cybernetics
• Ant colony optimization algorithms
• General game playing
• Reinforcement learning
• Computer Go
• Q-learning

Asymptotic Learning on Bayesian Social Networks∗ Elchanan Mossel Allan Sly Omer Tamuz

Source URL: people.hss.caltech.edu

• Graph theory
• Mathematics
• Discrete mathematics
• Bayesian network
• Graph isomorphism
• Directed graph
• Ear decomposition
• Graph
• Expander graph
• Eulerian path

CS269: Machine Learning Theory Lecture 7: Perceptron Algorithm October 18, 2010 Lecturer: Jennifer Wortman Vaughan Scribe: Shankar Garikapati and Akshay Wadia In this lecture, we consider the problem of learning the clas

Source URL: www.jennwv.com

Become Certified in the Paul-Elder Framework for Critical Thinking Foundation for Critical Thinking, February 2016 Purpose and Overall Approach to the

Source URL: www.criticalthinking.org

• Education
• Cognition
• Learning
• Critical thinking
• Philosophy of education
• Thought
• Educational psychology
• Facilitator
• Linda Elder
• Center for Critical Thinking
• Transformative learning
• Theory