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Linear function
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#	Item
681	CS 1173: MATLAB mean function The mean function returns the mean or average along an array dimension. B = mean(A, dim) resulting average Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2009-09-22 20:24:28 Means Linear algebra Summary statistics MATLAB Dimension Average Array data type Array programming Array slicing Statistics Algebra Mathematics
682	微積分甲－朱樺教授臺灣大學開放式課程第0章函數 (Functions) Add to Reading List Source URL: ocw.aca.ntu.edu.tw Language: English - Date: 2012-05-31 04:36:51 Abstract algebra Trigonometric functions Trigonometry Transcendental function Linear function Liwan District PTT Bulletin Board System Xiguan Analytic functions Mathematical analysis Mathematics
683	CS 1173: MATLAB median function The median function returns the median or middle value along an array dimension. B = median(A, dim) resulting median Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2009-09-22 20:24:48 Means Linear algebra Median Dimension MATLAB Array data type Array programming Medes Algebra Mathematics Software
684	Convex Relaxation of Mixture Regression with Efficient Algorithms Novi Quadrianto, Tib´erio S. Caetano, John Lim NICTA - Australian National University Canberra, Australia Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2009-09-20 18:03:02 Operations research Linear programming Convex analysis Regression analysis Semidefinite programming Convex optimization Convex function Singular value decomposition Expectation–maximization algorithm Mathematical optimization Mathematics Mathematical analysis
685	Managing Digital Rights using Linear Logic Adam Barth Stanford University Abstract Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2007-12-17 01:10:18 Copyright law Digital rights management PlayReady OMA DRM Monotonic function Entailment Finite-state machine Logic Mathematics Models of computation
686	Convex Relaxations of Latent Variable Training Yuhong Guo and Dale Schuurmans Department of Computing Science University of Alberta {yuhong,dale}@cs.ualberta.ca Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2008-01-19 16:30:45 Estimation theory Operations research Linear programming Econometrics Expectation–maximization algorithm Convex optimization Maximum likelihood Mixture model Convex function Statistics Mathematical optimization Mathematical sciences
687	Using Mixture Models for Collaborative Filtering Jon Kleinberg ∗ Mark Sandler Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-03-09 23:55:35 Recommender system Collaborative filtering Symbol Singular value decomposition Meijer G-function Complex normal distribution Algebra Mathematics Numerical linear algebra
688	Convex Two-Layer Modeling ¨ Ozlem Aslan Hao Cheng Dale Schuurmans Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-12-15 02:02:39 Latent class model Function Mathematical logic Linear temporal logic Μ operator Mathematics Statistics Perceptron
689	A Polynomial-time Form of Robust Regression ¨ Yaoliang Yu, Ozlem Aslan and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {yaoliang,ozlem,dale}@cs.ualberta.ca Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-12-15 02:28:27 Robust statistics Econometrics M-estimators Linear regression Estimator Robust regression Loss function Maximum likelihood Consistent estimator Statistics Estimation theory Statistical theory
690	CS 1173: MATLAB sum function The sum function returns the sum along an array dimension. B = sum(A, dim) resulting sum Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2012-09-03 20:54:14 Linear algebra Array programming MATLAB Parameter Dimension Euclidean subspace Connected sum Algebra Mathematics Software

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