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Non-parametric statistics
Results: 797

#	Item
691	On Kernels, Margins, and Low-dimensional Mappings Maria-Florina Bal an1 and Avrim Blum1 and Santosh Vempala2 1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-04-06 21:13:50 Mathematics Non-parametric statistics Probability and statistics Probability theory Kernel Normal distribution Statistics
692	How Pressure Impacts Performance and Can Confound Preference Inference∗ Matthew Goldman UC San Diego La Jolla, CA [removed] Add to Reading List Source URL: www.justinmrao.com Language: English - Date: 2013-05-11 22:11:05 Statistical inference Non-parametric statistics
693	igc13[removed]Bracher A Session[removed]poster accepted typeset Add to Reading List Source URL: www.ifi.uzh.ch Language: English - Date: 2013-10-10 08:25:36 Agroscope Kernel regression Density estimation Non-parametric statistics Geographic information system Kernel density estimation
694	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-16 11:26:39 Gaussian function Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel principal component analysis Support vector machine Kernel methods Kernel Statistics Machine learning Non-parametric statistics
695	Fast optimal bandwidth selection for kernel density estimation Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-16 12:24:16 Density estimation Gaussian function Histogram Estimation theory Kernel Bandwidth Multivariate kernel density estimation Kernel regression Statistics Non-parametric statistics Kernel density estimation
696	Scalable machine learning for massive datasets: Fast summation algorithms Getting good enough solutions as fast as possible Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-03-08 13:31:35 Non-parametric statistics Learning Supervised learning Kernel density estimation Statistical classification Machine learning Statistics Artificial intelligence
697	Fast optimal bandwidth selection for kernel density estimation Vikas Chandrakant Raykar and Ramani Duraiswami Dept. of computer science and UMIACS, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2005-12-20 17:48:52 Density estimation Estimation theory Gaussian function Kernel smoother Projection Multivariate kernel density estimation Variable kernel density estimation Statistics Non-parametric statistics Kernel density estimation
698	Large Scale Kernel Machines Editors: Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-11-10 14:46:47 Multivariate statistics Signal processing Statistical classification Exponentials Gaussian function Kernel regression Kernel principal component analysis Kernel density estimation Multivariate kernel density estimation Statistics Machine learning Non-parametric statistics
699	Computational tractability of machine learning algorithms for tall fat data VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-27 09:51:07 Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel regression Multivariate kernel density estimation Supervised learning Gaussian function Kernel principal component analysis Statistics Non-parametric statistics Machine learning
700	Structural Dynamics Toolbox & FEMLink R Add to Reading List Source URL: www.sdtools.com Language: English - Date: 2014-03-06 05:45:45 Statistics Finite element method Numerical linear algebra MATLAB Conceptual model Structural dynamics Non-parametric statistics Numerical analysis Software Structural analysis

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