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Supervised learning
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541	Practical Issues in Temporal Diﬀerence Learning∗ Gerald Tesauro IBM Thomas J. Watson Research Center PO Box 704, Yorktown Heights, NYUSA Abstract. This paper examines whether temporal diﬀerence methods for t Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-14 12:26:47 Learning Neural networks Reinforcement learning Supervised learning Temporal difference learning Backgammon E-learning Algorithm Backpropagation Machine learning Computational neuroscience Games
542	Deliverable D2.2 Project acronym Project full title SIMBAD Add to Reading List Source URL: simbad-fp7.eu Language: English - Date: 2009-10-26 07:56:22 Fisher kernel Information retrieval Computational linguistics Pattern recognition Generative model Hidden Markov model Kernel methods Supervised learning Generative Statistics Machine learning Statistical classification
543	Maximum Margin Bayesian Networks Yuhong Guo Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:14:41 Machine learning Networks Statistical models Bayesian network Markov random field Hidden Markov model Markov chain Support vector machine Supervised learning Statistics Graphical models Bayesian statistics
544	Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets Dragomir Yankov, Eamonn Keogh Computer Science & Engineering Department University of California, Riverside, USA {dyankov,eamonn}@cs.uc Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2007-08-11 13:03:00 Data mining Machine learning Search algorithms Discrete geometry Nearest neighbor search Supervised learning K-nearest neighbor algorithm Algorithm Speedup Information science Statistics Mathematics
545	Artificial Neural Networks Examination, June 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pas Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-09-08 10:30:53 Neuroscience Perceptron Feedforward neural network Artificial neural network Multilayer perceptron ADALINE Activation function Statistical classification Supervised learning Neural networks Cybernetics Science
546	Self-Organizing Maps Basics • • • Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-15 11:36:28 Computational statistics Self-organizing map Unsupervised learning Vector quantization Competitive learning Supervised learning Neural networks Machine learning Artificial intelligence
547	Human Mobility, Social Ties, and Link Prediction Dashun Wang1,2 Dino Pedreschi1,3 Chaoming Song1,2 Fosca Giannotti1,4 Albert-László Barabási1,2,5 1 CCNR, Dept. of Physics and Computer Science, Northeastern University, Add to Reading List Source URL: dashunwang.com Language: English - Date: 2014-01-07 21:31:47 Supervised learning Support vector machine Homophily Binary classification Link analysis Logistic regression Gain Statistics Machine learning Statistical classification
548	Machine Learning, 48, 51–84, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Metric-Based Methods for Adaptive Model Selection and Regularization Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-24 16:48:47 Kullback–Leibler divergence Regression analysis Regularization Metric space Cross-validation Statistical hypothesis testing Normalizing constant Statistics Machine learning Supervised learning
549	Discriminative Unsupervised Learning of Structured Predictors Linli Xu Dana Wilkinson Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-10 00:01:14 Statistics Hidden Markov model Conditional random field Support vector machine Supervised learning Discriminative model Convex optimization Semi-supervised learning Markov random field Machine learning Mathematics Algebra
550	Semi-supervised Convex Training for Dependency Parsing Qin Iris Wang Department of Computing Science University of Alberta Edmonton, AB, Canada, T6G 2E8 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2008-05-15 19:50:05 Computational statistics Semi-supervised learning Word-sense disambiguation Pattern recognition Supervised learning Parsing Natural language processing Support vector machine Expectation–maximization algorithm Machine learning Statistics Artificial intelligence

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