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Data Matrix
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#	Item
81	Computing Fundamentals Salvatore Filippone 2012–2013 Add to Reading List Source URL: people.uniroma2.it Language: English - Date: 2014-09-23 08:12:56 Vectors Linear algebra Abstract algebra Vector calculus Euclidean vector Vector space Array data structure Matrix Vector
82	A Semiparametric Model for Heterogeneous Panel Data with Fixed Effects Lena K¨orber∗ London School of Economics and Bank of England Oliver Linton† Add to Reading List Source URL: www.statistik.uni-bonn.de Language: English - Date: 2015-10-23 03:54:08 Regression analysis Estimation theory Statistical theory Econometrics Parametric statistics Instrumental variable Linear regression Matrix Fixed effects model Degrees of freedom Normal distribution Covariance
83	changes to your project plan. These documents should be called update1 yourname.pdf and update2 yourname.pdf and should also be e-mailed to . COMP 621 Suggested Projects - FallPlease ensure tha Add to Reading List Source URL: www.sable.mcgill.ca Language: English - Date: 2015-10-18 19:34:19 Array programming languages MATLAB GNU Octave Array data type Array programming For loop Fortran Dynamic array Sparse matrix R Optimizing compiler
84	The dynamic mode decomposition (DMD) is a data-driven matrix decomposition for spatio-temporal data grids. Originally introduced in the fluid mechanics community, DMD has been applied to several new domains, including ne Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
85	ARTICULATED MOTION ANALYSIS FROM MOTION CAPTURE DATA J. Fayad1, A. Del Bue2 and P. M. Q. Aguiar3 1. ABSTRACT We present computational methods to extract and model different joints of a generic Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2008-07-10 09:35:16 Linear algebra Matrices Transformation Rotational symmetry Rotation Matrix Singular value decomposition Rotation matrix Rotation around a fixed axis Rigid body Rank Transformation matrix
86	Summary • Algorithms and Data Structures need to take memory prefetch hardware into account • This talk shows one example - Matrix-vector multiply • As we’ll show, the results can be dramatic • Prefetch is Add to Reading List Source URL: wgropp.cs.illinois.edu Language: English - Date: 2016-08-16 11:52:11 Sparse matrix CSR Matrix
87	Dimension Independent Matrix Square Reza Zadeh Dimension Independent Matrix Square Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-19 11:30:56 Matrix Reza Zadeh Matrices Matrix theory Linear algebra
88	Drift Reconstruction from First Passage Time Data using the Levenberg-Marquardt Method Pak-Wing Fok, Dept. of Mathematical Sciences, University of Delaware, DESeptember 17, 2012 Abstract Add to Reading List Source URL: udel.edu Language: English - Date: 2012-09-17 14:09:50 Spectral theory Linear algebra Operator theory Ordinary differential equations Matrix theory SturmLiouville theory Eigenvalues and eigenvectors Partial differential equation Spectral theory of ordinary differential equations Lambda calculus
89	Vectors in Julia Keegan Go David Zeng Stephen Boyd Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-09-24 12:16:15 Linear algebra Vectors Vector calculus Abstract algebra Euclidean vector Vector space Array programming Array data type Vector Array data structure Matrix
90	SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Spectral clustering K-means clustering Document clustering Pattern recognition Expectationmaximization algorithm Determining the number of clusters in a data set Hierarchical clustering

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