Tracking-Based Semi-Supervised Learning Alex Teichman, Sebastian Thrun Stanford University Department of Computer Science {teichman,thrun}@stanford.edu

Source URL: cs.stanford.edu

LETTER doi:nature14236 Human-level control through deep reinforcement learning

Source URL: storage.googleapis.com

• Artificial intelligence
• Machine learning
• Computational neuroscience
• Applied mathematics
• Cybernetics
• Q-learning
• Artificial neural networks
• Reinforcement learning
• Convolutional neural network
• DQN
• Markov decision process
• Supervised learning

Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields Fan Yang Nuance Communications Inc.

Source URL: emnlp2014.org

Microsoft Word - A Progressive Supervised Learning Approach, Revised.docx

Source URL: faculty.las.illinois.edu

Machine Learning, 56, 209–239, 2004 c 2004 Kluwer Academic Publishers. Manufactured in The Netherlands.
Semi-Supervised Learning on Riemannian Manifolds

Source URL: web.cse.ohio-state.edu

Discretization of continuous attributes for supervised learning Variance evaluation and variance reduction ` - Belgium Louis WEHENKEL - University of Liege 

Source URL: www.montefiore.ulg.ac.be

Semi-Supervised Learning Olivier Chapelle Bernhard Sch¨olkopf Alexander Zien

Source URL: olivier.chapelle.cc

Semi-supervised Learning with Explicit Relationship Regularization Kwang In Kim Lancaster University James Tompkin Harvard SEAS

Source URL: people.mpi-inf.mpg.de

1 CS229 Problem Set #1 CS 229, Spring 2016 Problem Set #1: Supervised Learning

Source URL: cs229.stanford.edu

Introduction to Statistical Learning Theory Olivier Bousquet1 , St´ephane Boucheron2 , and G´abor Lugosi3 1 Max-Planck Institute for Biological Cybernetics Spemannstr. 38, DT¨

Source URL: www.econ.upf.edu

• Machine learning
• Learning
• Artificial intelligence
• Supervised learning
• Statistical learning theory
• Empirical risk minimization
• Probability distribution
• Pattern recognition
• Generalization error
• Stability