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Kernel regression
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31	Outline 1. Ridge Regression An Identity for Kernel Ridge Regression 2. Ridge Regression and Reproducing Kernel Hilbert Spaces Add to Reading List Source URL: www.clrc.rhul.ac.uk Language: English - Date: 2012-03-11 23:13:49
32	Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud∗† James Robert Lloyd∗† Roger Grosse‡ Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50
33	Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction Yann Guermeur and Fabienne Thomarat LORIA – Equipe ABC Campus Scientiﬁque, BPVandœuvre-l`es-Nancy Cedex, France Add to Reading List Source URL: www.loria.fr Language: English - Date: 2012-02-15 11:41:46 Operator theory Support vector machine Machine learning Protein secondary structure Positive-definite kernel Logistic regression Statistics Statistical classification Regression analysis
34	Kernel Conditional Quantile Estimation via Reduction Revisited 1 Novi Quadrianto 1 Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2009-09-24 07:19:48 Econometrics Quantile regression Statistical inference Normal distribution Quantile Bayes estimator Correlation and dependence Errors and residuals in statistics Q-Q plot Statistics Regression analysis Estimation theory
35	APPLICATION OF KERNEL RIDGE REGRESSION TO NETWORK LEVELLING VIA MATHEMATICA L. Völgyesi (1), B. Paláncz (2), K. Fekete (3), Gy. Popper (4) Budapest University of Technology and Economics, H-1521 Budapest, Műegyetem rk Add to Reading List Source URL: www.agt.bme.hu Language: English - Date: 2006-02-16 15:08:24
36	Geophysical Research Abstracts, Vol. 7, 09531, 2005 SRef-ID: gra/EGU05-A-09531 © European Geosciences Union 2005 Application of kernel ridge regression to network levelling via Mathematica Add to Reading List Source URL: www.agt.bme.hu Language: English - Date: 2005-04-28 13:05:48
37	NONPARAMETRIC REGRESSION IN IMAGING: FROM LOCAL KERNEL TO MULTIPLE-MODEL NONLOCAL COLLABORATIVE FILTERING Vladimir Katkovnik, Alessandro Foi, Karen Egiazarian, and Jaakko Astola Department of Signal Processing, Tampere U Add to Reading List Source URL: ticsp.cs.tut.fi Language: English - Date: 2008-09-03 07:24:05 Regression analysis Econometrics Image denoising Spatial data analysis Nonparametric regression Kernel regression Mutual information M-estimator Statistics Non-parametric statistics Estimation theory
38	C ONTRIBUTED RESEARCH ARTICLE 1 Estimability Tools for Package Developers Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2015-05-11 05:20:02 Numerical linear algebra Least squares Matrices Regression analysis Kernel Matrix QR decomposition Linear independence Rank Algebra Mathematics Linear algebra
39	Kernel ridge Regression Max Welling Department of Computer Science University of Toronto 10 King’s College Road Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2005-02-01 18:09:52 Abstract algebra Vectors Eigenvalues and eigenvectors Singular value decomposition Vector space Spectral theory of ordinary differential equations Algebra Mathematics Linear algebra
40	Smoothing internal migration age profiles for comparative research Add to Reading List Source URL: www.demographic-research.org Language: English - Date: 2015-05-05 03:12:35 Splines Non-parametric statistics Statistical methods Smoothing B-spline Kernel regression Curve fitting Gaussian function Nonparametric regression Statistics Interpolation Regression analysis