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Linear A
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#	Item
721	A Short SVM (Support Vector Machine) Tutorial j.p.lewis CGIT Lab / IMSC U. Southern California version 0.zz dec 2004 Add to Reading List Source URL: scribblethink.org Language: English - Date: 2008-03-24 23:35:11 Mathematical optimization Statistical classification Support vector machine KarushKuhnTucker conditions Lagrange multiplier Duality Linear classifier Hyperplane Constraint Supporting hyperplane Vector space Decision boundary
722	Estimates of genetic parameters for test day milk yields of a Holstein Friesian herd in Turkey with random regression models Add to Reading List Source URL: www.archanimbreed.com Language: English - Date: 2016-01-06 06:20:56 Genetics Econometrics Genetic variance Sexual selection Regression analysis Heritability Genetic correlation Linear regression Milk Holstein Friesian cattle Variance Dairy cattle
723	Locally-biased analytics You have BIG data and want to analyze a small part of it: Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-17 02:28:22 Matrix theory Linear algebra Singular value decomposition Abstract algebra Eigenvalues and eigenvectors Graph partition PageRank Image segmentation
724	ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 15 - Thurs 12th Nov 2015 First and Higher Order Differential Equations Integrating Factor Here is a powerful technique which will work (only!) for linear Add to Reading List Source URL: www.es.ucsc.edu Language: English - Date: 2015-11-12 14:31:57 Ordinary differential equations Differential equations Differential calculus Linear differential equation Integrating factor Vector space Variation of parameters Examples of differential equations
725	A NOTE ON RH FOR CURVES AND HYPERSURFACES OVER FINITE FIELDS NICHOLAS M. KATZ Abstract. We give what is arguably a simple (though certainly not elementary, cf. [Sch]) proof of the Riemann Hypothesis for (projective, smoo Add to Reading List Source URL: web.math.princeton.edu Language: English - Date: 2014-01-07 18:20:43 Linear algebra Matrix theory Finite fields Genus of a multiplicative sequence Eigenvalues and eigenvectors Elliptic curve Weil conjectures Profinite group
726	Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres · Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Multivariate statistics Operations research Mathematical optimization Numerical linear algebra Dimension reduction Sparse PCA Sparse approximation Principal component analysis Limit of a function Convex optimization Semidefinite programming K-SVD
727	Random Manhattan Indexing A Randomized Scalable Method for Semantic Similarity Measurement in L1 Normed Spaces Behrang Q. Zadeh Insight Centre for Data Analytics National University of Ireland, Galway behrang.qasemizadeh Add to Reading List Source URL: pars.ie Language: English - Date: 2015-10-23 12:32:06 Linear algebra Vectors Machine learning Dimension reduction Computational linguistics Vector space model Vector Euclidean vector Semantic similarity Normed vector space Norm Random projection
728	Lecture 20 Spectral Graph Theory and its Applications Graph Decompositions November 18, 2004 Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2005-06-30 12:02:49 Operator theory Contraction Linear temporal logic Positive-definite function on a group
729	Spectral Graph Theory Lecture 7 Fiedler’s Theorems on Nodal Domains Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-08-17 14:43:26 Matrix theory Linear algebra Matrices Algebraic graph theory Singular value decomposition Eigenvalues and eigenvectors PerronFrobenius theorem Laplacian matrix Symmetric matrix Matrix Square matrix Eigendecomposition of a matrix
730	2 Bias-correction of Kalman filter estimators associated to a linear state space model with estimated parameters 3 Add to Reading List Source URL: ria.ua.pt Language: English - Date: 2016-05-13 08:38:39 Estimation theory Estimator Kalman filter Minimum mean square error Maximum likelihood estimation Bias of an estimator Mean squared error Point estimation GaussMarkov theorem Extended Kalman filter Efficient estimator

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