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Supervised learning
Results: 1557

#	Item
511	BIG DATA ALGORITHMS FOR VISUALIZATION AND SUPERVISED LEARNING A Dissertation Submitted to the Temple University Graduate Board Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-11-01 17:02:59 Machine learning Computer graphics Learning Support vector machine Linear classifier Data mining Visualization MapReduce Data analysis Statistics Science Statistical classification
512	Say what? learning to recognize speech Semester or Master project Keywords: big data, machine learning, speech recognition, natural language processing Supervisors: Florent Garcin, {firstname.lastname}@epfl.ch Descripti Add to Reading List Source URL: lia.epfl.ch Language: English - Date: 2014-05-16 05:06:34 Artificial intelligence Statistics Speech recognition Computational neuroscience Computer accessibility Natural language processing Supervised learning Hidden Markov model Dynamic time warping Computational linguistics Science Machine learning
513	Algorithms for super-resolution of images and videos based on learning methods Marco Bevilacqua To cite this version: Marco Bevilacqua. Algorithms for super-resolution of images and videos based on learning Add to Reading List Source URL: people.rennes.inria.fr Language: English - Date: 2015-03-05 08:20:36 Multivariate statistics Image processing Linear algebra Matrix theory Non-negative matrix factorization Supervised learning Super-resolution Regression analysis Algorithm Statistics Mathematics Applied mathematics
514	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
515	Discriminative Batch Mode Active Learning Yuhong Guo Dale Schuurmans Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-09-03 16:48:05 Artificial intelligence Learning Semi-supervised learning Supervised learning Active learning Linear classifier Support vector machine Margin classifier Machine learning Statistics Statistical classification
516	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions Xinhua Zhang Yaoliang Yu Martha White Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-04-07 16:29:24 Eigenvalues and eigenvectors Singular value decomposition Vector space Matrix norm Lp space Algebra Mathematics Linear algebra
517	Large-Scale Machine Learning with Stochastic Gradient Descent L´eon Bottou NEC Labs America, Princeton NJ 08542, USA Add to Reading List Source URL: leon.bottou.org Language: English - Date: 2010-12-28 10:48:28 Statistics Operations research Stochastic gradient descent Neural networks Gradient descent Stochastic approximation Perceptron Supervised learning BFGS method Numerical analysis Mathematical optimization Stochastic optimization
518	APPLYING MACHINE LEARNING ALGORITHMS IN SOFTWARE DEVELOPMENT Du Zhang Department of Computer Science California State University Sacramento, CA Add to Reading List Source URL: www.disi.unige.it Language: English - Date: 2000-09-06 12:17:42 Formal sciences Artificial intelligence Theoretical computer science Bayesian statistics Cybernetics Software testing Supervised learning Artificial neural network Pattern recognition Machine learning Statistics Science
519	IntervalRank — Isotonic Regression with Listwise and Pairwise Constraints ∗ Taesup Moon, Alex Smola , Yi Chang, Zhaohui Zheng Yahoo! Labs Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:26:32 Convex optimization Machine learning Operations research Information retrieval Learning to rank Gradient boosting Lagrange multiplier Supervised learning Interior point method Mathematical optimization Numerical analysis Mathematical analysis
520	Simple Training of Dependency Parsers via Structured Boosting Qin Iris Wang Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-12-29 14:43:25 Learning Corpus linguistics Theoretical computer science Treebank Boosting Parsing Michael Collins Supervised learning Structured prediction Machine learning Artificial intelligence Ensemble learning

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