Regularization

Results: 577



#Item
501Fourier analysis / Magnetostatics / Partial differential equations / Magnetic field / Inverse problem / Spherical harmonics / Fourier transform / Magnetogram / Tikhonov regularization / Physics / Mathematical analysis / Electromagnetism

Microsoft Word - SVDPAP4.DOC

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Source URL: solarscience.msfc.nasa.gov

Language: English - Date: 2007-02-23 09:59:20
502Parametric statistics / Estimation theory / Machine learning / Linear regression / Regularization / Degrees of freedom / Hat matrix / Statistics / Regression analysis / Econometrics

Notation · {· · · } |·| 

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Source URL: www.amlbook.com

Language: English - Date: 2014-07-09 00:45:50
503Econometrics / Statistical classification / Supervised learning / Generalization error / Regularization / VC dimension / Linear regression / Errors and residuals in statistics / Statistics / Machine learning / Regression analysis

Contents Prefa e vii 1 The Learning Problem

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Source URL: www.amlbook.com

Language: English - Date: 2014-07-09 00:45:51
504Parametric statistics / Econometrics / Least squares / Linear regression / Ordinary least squares / Elastic net regularization / Statistics / Regression analysis / Estimation theory

Bilinear Text Regression and Applications Vasileios Lampos Department of Computer Science University College London

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Source URL: www.lampos.net

Language: English - Date: 2014-06-03 04:01:01
505Machine learning / Econometrics / Parametric statistics / Stability / Supervised learning / Generalization error / Linear regression / Regularization / Ensemble learning / Statistics / Regression analysis / Estimation theory

Index a tive learning, 181 denition, 12 Adaline, 35, 110 approximation, 27 versus generalization, 6268, 106

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Source URL: www.amlbook.com

Language: English - Date: 2014-07-09 00:45:51
506Actuarial science / Statistical methods / Estimation theory / Linear regression / Generalized linear model / Regularization / Kriging / Poisson regression / Degrees of freedom / Statistics / Regression analysis / Econometrics

University  of  New  Hampshire  -­‐  The  Graduate  School     www.gradschool.unh.edu       Department  of  Mathematics  and  Statistics   www.math.unh.edu/

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Source URL: math.unh.edu

Language: English - Date: 2012-05-09 10:44:55
507Least squares / Ordinary least squares / Generalized least squares / Robust regression / Mathematical optimization / Loss function / Linear programming / Elastic net regularization / Nonlinear regression / Statistics / Regression analysis / Linear regression

Mathematical Challenge March 2014 Interior Point Algorithms for a Robust Regression OLSLasso Estimator References:  T. Kariya, H. Kurata[removed]Generalized Least Squares  H. Wang, G. Li, G. Jiang[removed]Robust Re

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Source URL: www.swissquant.com

Language: English - Date: 2014-03-05 09:43:56
508Statistical models / Statistical theory / Estimation theory / Semiparametric model / Linear regression / Normal distribution / Instrumental variable / Tikhonov regularization / Non-parametric statistics / Statistics / Econometrics / Regression analysis

Nonparametric Estimation of Semiparametric Transformation Models Jean-Pierre FLORENS Senay SOKULLU

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Source URL: www.efm.bris.ac.uk

Language: English - Date: 2012-11-14 09:52:48
509Mathematical optimization / Regression analysis / Functional analysis / Statistics / Signal processing / Wavelet / Tikhonov regularization / Inverse problem / Least squares / Mathematical analysis / Mathematics / Linear algebra

JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH, VOL. 118, 1–13, doi:[removed]jgrb.50326, 2013 Global seismic tomography with sparsity constraints: Comparison with smoothing and damping regularization Jean Charléty,1,2 S

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Source URL: www.geoazur.fr

Language: English - Date: 2013-09-20 12:08:46
510Least squares / Computational neuroscience / Neural networks / Supervised learning / Regularization / Levenberg–Marquardt algorithm / Overfitting / Isotope lists /  73-96 / Perceptron / Statistics / Machine learning / Regression analysis

GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** *Lucent Technologies Oklahoma City, OK **School of Electrical and Computer Engineering

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Source URL: hagan.ecen.ceat.okstate.edu

Language: English - Date: 2008-01-23 11:12:53
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