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Linear least squares
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51	Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression Add to Reading List Source URL: islandlab.uac.pt Language: English - Date: 2016-01-04 07:34:50 Regression analysis Linear regression Ordinary least squares Coefficient of determination Autocorrelation Correlation and dependence GaussMarkov theorem Multicollinearity Standardized coefficient Residual sum of squares Generalized least squares Factor analysis
52	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 Wojciech Kotłowski1 Roman Słowiński1,2 Institute of Computing Science, Poznań University of Technology, Poznań, Poland Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Ensemble learning Gradient boosting Generalized functions Distribution Loss function Mathematical optimization Gradient descent Expected value Linear least squares Dirac delta function
53	Vectors, Matrices, and Least Squares (Working Title) S. Boyd and L. Vandenberghe ROUGH DRAFT December 9, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-08-18 11:36:05 Linear algebra Abstract algebra Vectors Numerical linear algebra Matrix theory Euclidean vector Matrix Vector space Linear independence Scalar Norm Multivector
54	PDF Document Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:05 Regression analysis Econometrics Actuarial science Sampling Ordinary least squares Linear regression
55	Chapter 11 RegressionLinear Regression Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Regression analysis Least squares Linear regression Ordinary least squares Coefficient of determination Linear least squares Residual sum of squares Explained sum of squares Expected value Polynomial regression Regularized least squares
56	Ann Inst Stat Math:705–723 DOIs10463Best equivariant estimator of regression coefficients in a seemingly unrelated regression model with known correlation matrix Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:09 Regression analysis Econometrics Estimation theory Least squares Parametric statistics Generalized least squares Linear regression Invariant estimator Polynomial regression Book:Applied Math
57	The Condition of a System of Linear Equations: Alternative Derivation Roland Angst Computer Vision and Geometry Lab, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-06-05 11:10:44 Numerical linear algebra Numerical analysis Condition number Matrices Matrix Inequality Residual Least squares Conjugate gradient method Linear least squares
58	Non-linear Metric Learning Dor Kedem, Stephen Tyree, Kilian Q. Weinberger Dept. of Comp. Sci. & Engi. Washington U. St. Louis, MO 63130 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Machine learning Mathematical optimization Search algorithms Multivariate statistics Data mining K-nearest neighbors algorithm Color histogram Pattern recognition Statistical classification Nearest neighbor search Least squares Dimensionality reduction
59	Small Sample Properties and Pretest Estimation of a Spatial Hausman-Taylor Model Badi H. Baltagi (Center for Policy Research, Syracuse University, Syracuse, NYPeter H. Egger (ETH Zurich, CEPR, CESifo, Wifo, Add to Reading List Source URL: rri.wvu.edu Language: English - Date: 2013-05-06 16:22:30 Estimation theory Regression analysis Least squares DurbinWuHausman test Ordinary least squares Estimator Autocorrelation Mean squared error Linear least squares Statistics
60	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Estimation theory Numerical linear algebra M-estimators Stochastic optimization Least squares Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix Fisher information BroydenFletcherGoldfarbShanno algorithm

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