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Unsupervised learning
Results: 431

#	Item
201	Volumetric mapping. Unsupervised exploration of an unknown space Goal • To build a complete 3D model of an area Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-15 11:35:52 Genetic algorithm Mathematical optimization Pose Reinforcement learning Mathematics Applied mathematics Artificial intelligence Computer vision Cybernetics
202	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-10 18:43:05 Multivariate statistics Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Artificial intelligence
203	Unsupervised and Semi-supervised Multi-class Support Vector Machines Linli Xu∗ Dale Schuurmans School of Computer Science Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:10:08 Machine learning Operations research Convex analysis Statistical classification Support vector machine Semidefinite programming Convex optimization Quadratic programming Eigenvalues and eigenvectors Mathematical optimization Statistics Mathematics
204	Optimal Reverse Prediction A Unified Perspective on Supervised, Unsupervised and Semi-supervised Learning Linli Xu Martha White Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2009-04-23 13:42:37 Mathematics Regression analysis Numerical linear algebra Linear algebra Estimation theory Semi-supervised learning Supervised learning Pattern recognition Unsupervised learning Statistics Machine learning Algebra
205	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
206	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
207	Latent class models for clustering: A comparison with K-means Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Tilburg University Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:43 K-means clustering Unsupervised learning Mixture model Logistic regression Consensus clustering Statistics Machine learning Cluster analysis
208	E:s2013tingsldStatisticsCongressgongZhangAbstract.doc Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Genomics Environmental microbiology Metagenomics Science Unsupervised learning Microbiome Microbiology Biology Bioinformatics
209	From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing∗ Valentin I. Spitkovsky Stanford University and Google Inc. Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2010-05-07 02:56:48 Linguistics Machine learning Computational neuroscience Corpus linguistics Markov models Artificial neural network Unsupervised learning Part-of-speech tagging Stochastic context-free grammar Science Computational linguistics Natural language processing
210	An Improved Classification Scheme with Adaptive Region Growing and Wishart Classification Algorithm for Digital Images Jun Chen1, Peijun Du2, Kun Tan1, Borjer T.H.3 1 Jiangsu Key Laboratory of Resources and Environmenta Add to Reading List Source URL: dline.info Language: English* - Date: 2015-04-20 11:28:01 Learning Support vector machine Statistical classification Supervised learning Segmentation Semi-supervised learning Unsupervised learning Active learning Region growing Machine learning Artificial intelligence Statistics

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