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Gaussian function
Results: 531

#	Item
331	A Handbook of Statistical Analyses Using R — 3rd Edition Torsten Hothorn and Brian S. Everitt CHAPTER 8 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-19 11:28:26 Density estimation Gaussian function Bootstrapping Kernel Logarithm Mode Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
332	Package ‘KernSmooth’ September 14, 2014 Priority recommended Version[removed]Date[removed]Title Functions for kernel smoothing for Wand & Jones (1995) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-14 04:53:19 Kernel Density estimation Linux kernel Bandwidth Gaussian function Normal distribution Standard deviation Variance Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
333	Quality Feature Definitions Add to Reading List Source URL: biometrics.nist.gov Language: English - Date: 2012-03-01 15:04:41 Image processing Gaussian filter Mathematics Computer vision Gaussian function Linear filters Gabor filter
334	Development of NFIQ 2.0 Quality Feature Definitions Version 0.5 Development of NFIQ 2.0 Add to Reading List Source URL: biometrics.nist.gov Language: English - Date: 2012-06-06 18:03:10 Gaussian function Segmentation Mathematics Linear filters Gabor filter Image processing
335	Smooth Interpretation ∗ Swarat Chaudhuri Armando Solar-Lezama Pennsylvania State University Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-07-20 17:17:44 Models of computation Regression analysis Exponentials Gaussian function Normal distribution Denotational semantics Random variable Simplex algorithm Rate–distortion theory Mathematics Theoretical computer science Applied mathematics
336	CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT Joint Uncertainty Decoding for Robust Large Vocabulary Speech Recognition H. Liao and M.J.F. Gales Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-09-21 10:56:04 Signal processing Data analysis Parametric statistics Normal distribution Additive white Gaussian noise Variance Speech recognition Linear regression Linear belief function Statistics Regression analysis Estimation theory
337	Gaussian mixture models and the EM algorithm Ramesh Sridharan∗ These notes give a short introduction to Gaussian mixture models (GMMs) and the Expectation-Maximization (EM) algorithm, first for the specific case of GMM Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-05 10:25:35 Expectation–maximization algorithm Normal distribution Standard deviation Kullback–Leibler divergence Likelihood function Generalized method of moments Statistics Estimation theory Maximum likelihood
338	Learning Informative Statistics: A Nonparametric Approach John W. Fisher III, Alexander T. Ihler, and Paul A. Viola Massachusetts Institute of Technology 77 Massachusetts Ave., 35-421 Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:22 Information theory Kullback–Leibler divergence Entropy Sufficient statistic Estimation theory Principle of maximum entropy Maximum likelihood Gaussian function Statistical hypothesis testing Statistics Statistical theory Normal distribution
339	T O APPEAR IN N EURAL I NFORMATION P ROCESSING S YSTEMS[removed]Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, and Alan S. Willsky Department of E Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:22 Computational statistics Estimation theory Gaussian function Gibbs sampling Normal distribution Expectation–maximization algorithm Kullback–Leibler divergence Multivariate kernel density estimation Importance sampling Statistics Monte Carlo methods Non-parametric statistics
340	Relating Φ and erf There’s nothing profound here, just simple but error-prone calculations that I’ve done so often that I decided to save the results. Let Φµ,σ (x) be the CDF of a normal random variable with mea Add to Reading List Source URL: www.johndcook.com Language: English - Date: 2013-07-09 18:21:20 Gaussian function Data analysis Normal distribution Standard deviation Folded normal distribution 68-95-99.7 rule Statistics Mathematical analysis Error function

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