GraphLab: A New Framework For Parallel Machine Learning Yucheng Low Carnegie Mellon University

Source URL: select.cs.cmu.edu

• Graph theory
• Concurrent computing
• Mathematics
• Parallel computing
• Distributed computing architecture
• NP-complete problems
• Graph connectivity
• MapReduce
• Speedup
• Graph coloring
• Spanning tree
• Graph partition

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning The International Journal of Robotics Research

Source URL: goldberg.berkeley.edu

• Markov models
• Estimation theory
• Cluster analysis
• Machine learning
• Mixture model
• Image segmentation
• Hidden Markov model
• Expectationmaximization algorithm
• Markov chain
• K-means clustering
• Time series

CS269: Machine Learning Theory Lecture 5: Infinite Function Classes, Part 2 October 11, 2010 Lecturer: Jennifer Wortman Vaughan Scribe: Ertan Dogrultan and Paul Wais

Source URL: www.jennwv.com

VARIATIONS OF HODGE STRUCTURE NOTES FOR NUMBER THEORY LEARNING SEMINAR ON SHIMURA VARIETIES DANIEL LITT Contents 1. Introduction: Variation of Hodge Structure for Curves

Source URL: math.columbia.edu

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems, Part 2 S´ ebastien Bubeck Theory Group

Source URL: learning.mpi-sws.org

J. Fluid Mech), vol. 789, pp. 726–749. doi:jfmc Cambridge University Press 2016

Source URL: www.mattiagazzola.com

• Fisheries
• Fluid dynamics
• Mathematical analysis
• Dipole
• Electromagnetism
• Potential theory
• Reinforcement learning
• Swarm behaviour
• Shoaling and schooling
• Vorticity
• Q-learning
• Markov decision process

JMLR: Workshop and Conference Proceedings vol 40:1–20, 2015 S2 : An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification Gautam Dasarathy

Source URL: jmlr.org

• Graph connectivity
• Graph theory
• Edsger W. Dijkstra
• Network theory
• Shortest path problem
• Bridge
• Connected component
• Connectivity
• Graph
• Routing algorithms
• Planar separator theorem
• Minimum spanning tree

Overview What is Learning Theory Basic Idea, Classification, Regression, Novelty Detection, Applications Statistics Probabilities, Distributions, Bayes Rule, Measures Useful Distributions

Source URL: alex.smola.org

CS269: Machine Learning Theory Lecture 10: Weighted Majority and Online Convex Optimization October 27, 2010 Lecturer: Jake Abernethy Scribe: Karan Chaudhry and Sendie Hudaya

Source URL: www.jennwv.com

Online Learning and Game Theory + On Learning with Similarity Functions Your Guide:

Source URL: kioloa08.mlss.cc