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Gaussian function
Results: 531

#	Item
441	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
442	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
443	On a Theory of Learning with Similarity Functions Maria-Florina Balcan Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:46 Support vector machine Function Perceptron Sheaf Positive-definite kernel Kernel Mathematics Exponentials Gaussian function
444	Propagation of a Gaussian wave packet Momentum space wave function corresponding to a Gaussian Add to Reading List Source URL: physics.bu.edu Language: English - Date: 2013-10-22 13:46:03 Wave function Wave Operator Rectangular potential barrier Momentum space Physics Quantum mechanics Wave packet
445	Fast large scale Gaussian process regression using approximate matrix-vector products Vikas C. Raykar and Ramani Duraiswami Department of Computer Science and Institute for advanced computer studies University of Marylan Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-18 15:15:55 Numerical linear algebra Regression analysis Econometrics Data analysis Singular value decomposition Gaussian function Multivariate normal distribution Linear regression Cholesky decomposition Statistics Algebra Mathematics
446	Fast computation of sums of Gaussians in high dimensions VIKAS CHANDRAKANT RAYKAR, CHANGJIANG YANG, RAMANI DURAISWAMI, and NAIL GUMEROV Perceptual Interfaces and Reality Laboratory Department of Computer Science and Inst Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-08 19:07:52 Multivariate statistics Singular value decomposition Normal distribution Gaussian function Kernel principal component analysis Principal component analysis Kernel regression Eigenvalues and eigenvectors Taylor series Mathematical analysis Statistics Algebra
447	Very fast optimal bandwidth selection for univariate kernel density estimation VIKAS CHANDRAKANT RAYKAR and RAMANI DURAISWAMI Perceptual Interfaces and Reality Laboratory Department of Computer Science and Institute for Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-06-28 18:53:06 Density estimation Estimation theory Maximum likelihood Normal distribution Mean integrated squared error Kernel Gaussian function Closed and exact differential forms Variance Statistics Non-parametric statistics Kernel density estimation
448	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami University of Maryland, CollegePark {vikas,ramani}@cs.umd.edu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2005-12-15 12:21:38 Gaussian function Non-parametric statistics Multivariate statistics Signal processing Statistical classification Kernel principal component analysis Kernel density estimation Positive-definite kernel Gaussian process Statistics Machine learning Mathematics
449	Automatic online tuning for fast Gaussian summation Vlad I. Morariu1∗, Balaji V. Srinivasan1 , Vikas C. Raykar2 , Ramani Duraiswami1 , and Larry S. Davis1 1 University of Maryland, College Park, MD[removed] Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2009-01-10 03:54:48 Machine learning Data mining Search algorithms Numerical analysis Cluster analysis K-nearest neighbor algorithm Gaussian function Error detection and correction Cosmic distance ladder Statistics Information science Mathematics
450	Fast large scale Gaussian process regression using approximate matrix-vector products Vikas C. Raykar and Ramani Duraiswami Department of Computer Science and Institute for advanced computer studies University of Marylan Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-13 00:42:38 Mathematical analysis Regression analysis Matrix Conjugate gradient method Krylov subspace Gaussian function Numerical analysis Numerical linear algebra Statistics Mathematics

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