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Gaussian function
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#	Item
431	Training Products of Experts by Minimizing Contrastive Divergence Geoffrey E. Hinton presented by Yuxiong Wang[removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-21 13:47:39 Mixture model Product of Experts Probability distribution Gaussian function Maximum likelihood Statistics Machine learning Probability and statistics
432	2013 UI MOCK PUTNAM EXAM September 25, 2013, 5 pm – 7 pm Solutions 1. Let f (n) denote the n-th term in the sequence 1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, . . . , obtained by writing one 1, two 2’s, three 3’ Add to Reading List Source URL: www.math.illinois.edu Language: English - Date: 2013-09-28 16:36:58 Complex analysis Polynomials Hyperbolic function Hyperbolic geometry Taylor series Bernoulli polynomials Gaussian integral Mathematical analysis Mathematics Exponentials
433	One-Step Recognition of Living C. elegans in 384-well Plate Cultures using Linear Scale Space Mathematics Peter Van Osta, Kris Ver Donck, Jan-Mark Geusebroek*, Luc Bols & Johan Geysen* Presented at the European C. el Add to Reading List Source URL: www.digilabglobal.com Language: English - Date: 2010-06-09 10:14:04 Exponentials Mathematics Scale space Gaussian filter Microscopy Science Chemistry Image processing Gaussian function Computer vision
434	BAYESIAN STATISTICS 6, pp[removed]J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (Eds.)  Oxford University Press, 1998 Regression and Classification Using Gaussian Process Priors Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2009-10-20 12:40:35 Econometrics Bayesian statistics Geostatistics Gaussian process Covariance function Kriging Covariance Multivariate normal distribution Linear regression Statistics Covariance and correlation Regression analysis
435	BLIND IMAGE DECONVOLUTION: MOTION BLUR ESTIMATION By Felix Krahmer, Youzuo Lin, Bonnie McAdoo Katharine Ott, Jiakou Wang, David Widemann and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:32:49 Gaussian function Fourier analysis Integral transforms Signal processing Cepstrum Radon transform Point spread function Deconvolution Trigonometric functions Mathematical analysis Mathematics Image processing
436	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
437	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
438	Efficient Kriging via Fast Matrix-Vector Products. Nargess Memarsadeghi NASA/GSFC, Code 587 Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2008-04-01 17:36:01 Covariance and correlation Numerical linear algebra Interpolation Kriging Multivariate interpolation Gaussian function Gaussian process Normal distribution Covariance matrix Statistics Numerical analysis Geostatistics
439	A fast algorithm for learning large scale preference relations Vikas C. Raykar, Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-02-01 22:57:02 Error function Gaussian function Operations research Normal distribution Conjugate gradient method Mathematical optimization Time complexity Mathematical analysis Theoretical computer science Mathematics
440	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

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