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Kernel density estimation
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#	Item
171	Fast Computation of Kernel Estimators Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2010-04-11 13:17:14 Mathematical analysis Kernel density estimation Kernel regression Density estimation Approximation algorithm Kernel Numerical analysis Convolution Fast Fourier transform Non-parametric statistics Statistics Mathematics
172	ABSTRACT Title of dissertation: SCALABLE MACHINE LEARNING FOR MASSIVE DATASETS : Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-04-24 16:24:59 Kernel density estimation K-nearest neighbor algorithm Fast Fourier transform Density estimation Algorithm Multivariate kernel density estimation Non-parametric statistics Statistics Mathematics
173	Scalable machine learning for massive datasets: Fast summation algorithms VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-19 03:12:22 Supervised learning Kernel regression Support vector machine Multivariate kernel density estimation Kernel methods Kernel density estimation Computational statistics Fast multipole method Gaussian function Statistics Non-parametric statistics Machine learning
174	Reading list VIKAS C. RAYKAR, University of Maryland, CollegePark [removed] The reading list covers three topics: fast methods, machine learning, and scientific computing. The first list contains a few key papers Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-18 12:04:36 Kernel regression Fast multipole method Density estimation Support vector machine Regression analysis Computational statistics Kernel smoother John Shawe-Taylor Kernel methods Statistics Non-parametric statistics Kernel density estimation
175	Scalable machine learning for massive datasets: Fast summation algorithms Vikas Chandrakant Raykar University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-25 22:43:06 Multivariate kernel density estimation Kernel density estimation Gaussian function Fast multipole method Density estimation Support vector machine Kernel methods Machine learning K-nearest neighbor algorithm Statistics Non-parametric statistics Kernel regression
176	Eidgenössisches Departement für Wirtschaft, Bildung und Forschung WBF Agroscope Add to Reading List Source URL: www.ifi.uzh.ch Language: English - Date: 2013-10-10 08:23:51 Fodder Kernel density estimation Silage Agroscope Maize Kernel regression Agriculture Non-parametric statistics Food and drink
177	HCL-Based Color Palettes in R Achim Zeileis Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2013-09-30 01:37:32 Image processing Grayscale Imaging Palette RGB color model Kernel density estimation Vision Computing Color space Optics Color
178	Learning from Distributions via Support Measure Machines Krikamol Muandet Add to Reading List Source URL: books.nips.cc Language: English Non-parametric statistics Support vector machine Normal distribution Reproducing kernel Hilbert space Kernel Positive-definite kernel Fourier analysis Least squares support vector machine Kernel density estimation Statistics Hilbert space Statistical classification
179	L7: Kernel density estimation • • Add to Reading List Source URL: research.cs.tamu.edu Language: English - Date: 2011-11-15 20:01:16 Kernel density estimation Histogram Density estimation Kernel Estimation theory Estimator Statistics Non-parametric statistics Statistical inference
180	96 Chapter 4 Add to Reading List Source URL: www.stat.rice.edu Language: English - Date: 2013-02-20 08:58:17 Polygon Mode Plot Kernel density estimation Multivariate kernel density estimation Statistics Non-parametric statistics Histogram

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