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Dimensionality reduction
Results: 403

#	Item
311	Microsoft Word - OMHRC Acquisitions Jan2010.docx Add to Reading List Source URL: www.ndhealth.gov Language: English - Date: 2010-02-19 14:01:03 Epidemiology Science Knowledge Multifactor dimensionality reduction Gary L Kreps Acronyms PubMed Medicine
312	SIDS and Related Research Published in 2010 Add to Reading List Source URL: www.mchlibrary.org Language: English - Date: 2011-01-07 14:55:42 National Institutes of Health Corsetry Physical restraint Swaddling Infant bed PubMed Health Multifactor dimensionality reduction Childhood Human development Infancy
313	Learning Parameterized Skills Bruno Castro da Silva [removed] Autonomous Learning Laboratory, Computer Science Dept., University of Massachusetts Amherst, 01003 USA. George Konidaris Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-08-29 16:33:32 Reinforcement learning Machine learning Support vector machine Nonlinear dimensionality reduction Linear regression Statistics Econometrics Regression analysis
314	Scalable k-NN graph construction for visual descriptors∗ Jing Wang† Jingdong Wang‡ Gang Zeng† Zhuowen Tu‡ § Rui Gan† Shipeng Li‡ † Peking University ‡Microsoft Research Asia § Lab of Neuro Imaging and Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-03-30 05:59:42 Dimension reduction Nearest neighbor graph Nearest neighbor search Nonlinear dimensionality reduction K-nearest neighbor algorithm Relative neighborhood graph Graph Planar separator theorem Path decomposition Graph theory Mathematics Search algorithms
315	Robust Feature Extraction via Information Theoretic Learning Xiao-Tong Yuan [removed] Bao-Gang Hu [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:28 Statistical theory Dimension reduction Regression analysis Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Recursive least squares filter Iteratively reweighted least squares Kernel trick Statistics Multivariate statistics Singular value decomposition
316	The Elastic Embedding Algorithm for Dimensionality Reduction Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:36 Multivariate statistics Dimension reduction Dimension Nonlinear dimensionality reduction Eigenvalues and eigenvectors Semidefinite embedding Statistics Algebra Mathematics
317	Non-Isometric Manifold Learning: Analysis and an Algorithm Piotr Doll´ar PDOLLAR @ CS . UCSD . EDU Vincent Rabaud Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:14 Geometric topology Differential geometry Differential topology Mathematics Dimension reduction Nonlinear dimensionality reduction Isomap Manifold Differentiable manifold Statistics Topology Multivariate statistics
318	Announcements • Presentation assignments – on class web page. • Midterm Histogram: Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-03-25 11:40:58 Computational statistics Isomap Dimension reduction Multidimensional scaling Riemannian manifold Geodesic Euclidean space Distance matrix Nonlinear dimensionality reduction Statistics Multivariate statistics Geometry
319	Dirichlet Component Analysis: Feature Extraction for Compositional Data Hua-Yan Wang [removed] Key Laboratory of Machine Perception (Ministry of Education), Peking University Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-16 23:53:32 Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Dimension reduction Factor analysis Independent component analysis Latent Dirichlet allocation Feature extraction Compositional data Statistics Multivariate statistics Dirichlet distribution
320	Information-Theoretic Metric Learning Jason V. Davis Brian Kulis Prateek Jain Suvrit Sra Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:52 Mahalanobis distance Large margin nearest neighbor K-nearest neighbor algorithm Distance Supervised learning Statistical classification K q-flats Nonlinear dimensionality reduction Statistics Machine learning Multivariate statistics

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