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Gaussian function
Results: 531

#	Item
261	Statistical Approaches for Wind Resource Assessment Kalyan Veeramachaneni, Xiang Ye, and Una-May O’Reilly Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology, USA Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-12-21 11:01:58 Graphical models Actuarial science Statistical models Multivariate normal distribution Gaussian function Normal distribution Bayesian network Copula Maximum likelihood Statistics Bayesian statistics Estimation theory
262	Addendum to “On an unverified nuclear decay and its role in the DAMA experiment” Josef Pradler∗ Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD 21218, USA Itay Yavin† Add to Reading List Source URL: arXiv.org Language: English - Date: 2013-01-29 20:16:58 Astroparticle physics Exotic matter Theoretical physics DAMA/NaI Dark matter Gaussian function Electronvolt Physics Particle physics DAMA/LIBRA
263	AFFINE ORDER-STATISTIC MATCHED FILTERS FOR NON-INVASIVE CARDIAC MONITORING Gregory McGarry Industrial Research Limited Wellington, New Zealand ABSTRACT Add to Reading List Source URL: www.gregorymcgarry.com Language: English - Date: 2003-05-27 03:12:23 Signal processing Filter Electronic filter Linear filter Matched filter Gaussian function Nonlinear filter Finite impulse response Estimation theory Filter theory Electronic engineering Electronics
264	DETECTION OF SUSPICIOUS REGIONS IN MAMMOGRAPHIC IMAGES USING THE GENERALISED GAUSSIAN DISTRIBUTION Name of author Signal Processing Research Centre, Queensland University of Technology GPO Box 2434, Brisbane QLD 4001, Au Add to Reading List Source URL: www.gregorymcgarry.com Language: English - Date: 2005-11-18 15:52:33 Computer vision Fourier analysis Gaussian function Normal distribution Laplacian pyramid Laplace operator Optical aberration Kurtosis Gaussian filter Mathematical analysis Calculus Image processing
265	Matched Filtering Using Affine Order Statistics Gregory McGarry Industrial Research Limited Wellington, New Zealand ABSTRACT The matched filter is a basic tool in the signal-processing toolset and is used in many diverse Add to Reading List Source URL: www.gregorymcgarry.com Language: English - Date: 2002-10-30 21:58:47 Electronics Digital signal processing Estimation theory Filter Gaussian function Matched filter Nonlinear filter Finite impulse response Electronic filter Filter theory Electronic engineering Signal processing
266	Reinforcement Learning to Adjust Robot Movements to New Situations Jens Kober Erhan Oztop Add to Reading List Source URL: www.roboticsproceedings.org Language: English - Date: 2014-08-18 07:52:17 Reinforcement learning Regression analysis Supervised learning Expectation–maximization algorithm Kernel regression Pattern recognition Gaussian function Statistics Machine learning Non-parametric statistics
267	Appl Phys B[removed]: 403–409 DOI[removed]s00340[removed]Linear optimal control for tracking a single fluorescent particle in a confocal microscope S.B. Andersson · T. Sun Add to Reading List Source URL: people.bu.edu Language: English - Date: 2009-02-04 20:36:10 Robot control Linear filters Electronic engineering Control theory Kalman filter Gaussian function Estimation theory Fluorescence correlation spectroscopy Science Signal processing Statistics
268	Homework 7: Fun with Kernel Density Estimation[removed], Advanced Data Analysis Due at 10:30 am on Tuesday, 27 March[removed]A little theory (25 points total) R Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-20 23:18:56 Normal distribution Variance Kernel Gaussian function Random variable Density estimation Kernel regression Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
269	Chapter 15 Estimating Distributions and Densities We have spent a lot of time looking at how to estimate expectations (which is regression). We have also seen how to estimate variances, by turning it into a problem abou Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-08 13:17:13 Gaussian function Histogram Normal distribution Kernel regression Density estimation Estimation theory Variance Maximum likelihood Kurtosis Statistics Non-parametric statistics Kernel density estimation
270	DISCRETE PDF ESTIMATION IN THE PRESENCE OF NOISE Byung-Jun Yoon and P. P. Vaidyanathan Dept. of Electrical Engineering California Institute of Technology, Pasadena, CA 91125, USA E-mail: [removed], ppvnath@syste Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 04:51:44 Non-parametric statistics Signal processing Kernel density estimation Z-transform Estimation theory Histogram Probability density function Additive white Gaussian noise Logarithm Statistics Mathematics Mathematical analysis

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