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Regularization
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51	CS168: The Modern Algorithmic Toolbox Lecture #6: Stochastic Gradient Descent and Regularization Tim Roughgarden & Gregory Valiant∗ April 13, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:44 Statistics Numerical analysis Mathematics Computational statistics Regression analysis Econometrics Convex optimization Estimation theory Stochastic gradient descent Gradient descent Linear regression Mathematical optimization
52	Regularized D-bar method for the inverse conductivity problem Samuli Siltanen, University of Helsinki. Seminar at Rensselaer Polytechnic Institute, January 26, 2010 Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2010-01-26 20:26:52 Inverse problems Estimation theory Mathematical analysis Analysis Linear algebra Mathematics Summability methods Tikhonov regularization Physics Regularization Regularization by spectral filtering
53	Exploiting Social Context for Review Quality Prediction Yue Lu∗ Panayiotis Tsaparas Alexandros Ntoulas Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2011-11-03 14:00:14 Statistics Machine learning Reputation management Statistical theory Learning Regression analysis Estimation theory Manifold regularization Support vector machine Linear regression Semi-supervised learning PageRank
54	PUBLICATIONS Martin Burger PREPRINTS / SUBMITTED PAPERS  Add to Reading List Source URL: www.math.uni-muenster.de Language: English - Date: 2016-03-11 05:46:03 Mathematical optimization Linear algebra Inverse problems Mathematics Statistics Analysis Estimation theory Tikhonov regularization Iterative reconstruction Compressed sensing Shape optimization Regularization
55	Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection Christopher R Madan Boston College 27 June 2016 Paper DOI: http://dx.doi.orgjoss.00031 Add to Reading List Source URL: www.cmadan.com Language: English - Date: 2016-07-02 04:12:05 Statistics Statistical methods Regression analysis Econometrics Statistical classification Estimation theory Relevance vector machine Linear regression Smoothing spline Feature selection Support vector machine Spline
56	Regularized D-bar method for electrical impedance tomography Tampere University of Technology Finland Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2009-02-26 10:31:46 Inverse problems Medicine Electrical impedance tomography Analysis Mathematics Tikhonov regularization Tomography Tikhonov Well-posed problem Electrical resistivity tomography
57	Regularized D-bar method for the inverse conductivity problem , University of Helsinki Seminar talk at University of Delaware, January 14, 2010 Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2010-01-15 15:01:38 Inverse problems Estimation theory Mathematics Linear algebra Analysis Mathematical analysis Tikhonov regularization Well-posed problem Regularization Inverse Regularization by spectral filtering BackusGilbert method
58	Inverse Problems and Imaging doi:ipiVolume 3, No. 1, 2009, 87–122 Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2016-05-06 06:35:16 Mathematical analysis Statistics Statistical theory Signal processing Functional analysis Inverse problems Probability distributions Estimation theory Tikhonov regularization Normal distribution Prior probability Wavelet
59	arXiv:submitcs.LG] 22 MayEfficient Elastic Net Regularization for Sparse Linear Models Zachary C. Lipton Add to Reading List Source URL: zacklipton.com Language: English - Date: 2015-05-21 21:27:59 Statistics Regression analysis Convex optimization Computational statistics Elastic net regularization Stochastic gradient descent Lasso
60	Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Nonparametric statistics Kernel density estimation Density estimation Normal distribution Convolution Standard deviation Positive-definite kernel Multivariate kernel density estimation Kernel embedding of distributions