Singular distribution

Results: 113



#Item
51Multivariate statistics / Singular value decomposition / Linear algebra / Numerical linear algebra / Principal component analysis / Conjugate prior / Variational Bayesian methods / Normal distribution / Multivariate normal distribution / Statistics / Algebra / Bayesian statistics

ECAI 2014 T. Schaub et al. (Eds.) © 2014 The Authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial Licen

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Source URL: users.ics.aalto.fi

Language: English - Date: 2014-08-03 02:46:45
52Singular value decomposition / Estimation theory / Stochastic processes / Linear algebra / Principal component analysis / Normal distribution / Eigenvalues and eigenvectors / Variance / Maximum likelihood / Statistics / Algebra / Data analysis

Filtered Gaussian Processes for Learning with Large Data-Sets Jian Qing Shi1 , Roderick Murray-Smith2,3 , D. Mike Titterington4 , and Barak A. Pearlmutter3 1 2

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Source URL: eprints.pascal-network.org

Language: English - Date: 2005-01-31 18:12:05
53Noise / Akaike information criterion / Model selection / Rice distribution / Signal-to-noise ratio / Singular value decomposition / Total least squares / Sensitivity / Matched filter / Algebra / Mathematics / Statistics

2872 IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 41, NO. 9, SEPTEMBER 1993 SVD-Based Information Theoretic Criteria for Detection of the Number of DampedKJndamped

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Source URL: eprints.iisc.ernet.in

Language: English - Date: 2010-09-19 00:26:54
54Fractional calculus / Distribution / Differential equations / Heat equation / Curry–Howard correspondence / Mathematical analysis / Calculus / Mathematics

Existence Results for Singular Boundary Value Problem of Nonlinear Fractional Differential Equation

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Source URL: downloads.hindawi.com

Language: English - Date: 2014-08-28 22:06:37
55Multivariate statistics / Singular value decomposition / Linear algebra / Matrix theory / Mathematical physics / Factor analysis / Eigenvalues and eigenvectors / Multivariate normal distribution / Principal component analysis / Algebra / Statistics / Mathematics

Microsoft Word - cover.doc

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Source URL: www.szgerzensee.ch

Language: English - Date: 2013-03-24 13:39:15
56Multivariate statistics / Singular value decomposition / Functional analysis / Matrix theory / Principal component analysis / Kernel principal component analysis / Projection / Eigenvalues and eigenvectors / Normal distribution / Algebra / Mathematics / Linear algebra

Fast and Robust Appearance-based Tracking Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos and Maja Pantic Abstract— We introduce a fast and robust subspace-based approach to appearance-based object tracking

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2011-03-31 07:36:00
57Linear algebra / Markov models / Operator theory / Bioinformatics / Hidden Markov model / Normal distribution / Expectation–maximization algorithm / Kernel density estimation / Singular value decomposition / Mathematics / Mathematical analysis / Algebra

Hilbert Space Embeddings of Hidden Markov Models Le Song [removed] Byron Boots [removed]

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Source URL: www.select.cs.cmu.edu

Language: English - Date: 2011-07-19 22:00:19
58Data analysis / Summary statistics / Gaussian function / Probability theory / Exponentials / Normal distribution / Lattice / Variance / Singular value decomposition / Statistics / Algebra / Mathematics

An Efficient and Parallel Gaussian Sampler for Lattices Chris Peikert∗ April 13, 2011 Abstract At the heart of many recent lattice-based cryptographic schemes is a polynomial-time algorithm that,

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Source URL: www.cc.gatech.edu

Language: English - Date: 2011-04-13 22:31:57
59Regression analysis / Least squares / Numerical linear algebra / Singular value decomposition / Normal distribution / Linear least squares / Non-linear least squares / Kernel / Ordinary least squares / Algebra / Linear algebra / Statistics

12 Function Fitting The goal of function fitting is to choose values for the parameters in a function to best describe a set of data. There are many possible reasons to do this. If a specific meaningful form for the fun

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Source URL: fab.cba.mit.edu

Language: English - Date: 2014-04-13 17:53:09
60Covariance and correlation / Matrices / Singular value decomposition / Matrix theory / Data analysis / Covariance matrix / Multivariate normal distribution / Correlation and dependence / Variance / Algebra / Linear algebra / Mathematics

Package ‘corpcor’ September 29, 2014 Version[removed]Date[removed]Title Efficient Estimation of Covariance and (Partial) Correlation Author Juliane Sch\{}``afer, Rainer OpgenRhein, Verena Zuber, Miika Ahdesm\{}''aki

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Source URL: cran.r-project.org

Language: English - Date: 2014-09-29 12:30:16
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