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Gradient analysis
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#	Item
221	Online Learning via Congregational Gradient Descent Kim L. Blackmore Robert C. Williamson William A. Sethares Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:23:22 Regression analysis Operations research Genetic algorithm Nonlinear regression Gradient descent Levenberg–Marquardt algorithm Expectation–maximization algorithm Numerical analysis Mathematical optimization Applied mathematics
222	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 50, NO. 8, AUGUST[removed]Exploiting Sparsity in Adaptive Filters Richard K. Martin, William A. Sethares, Robert C. Williamson, and C. Richard Johnson, Jr., Fellow, IEEE Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-16 18:13:14 Filter theory Least mean squares filter Sparse matrix Gradient descent Numerical analysis Digital signal processing Mathematics
223	Journal of Machine Learning Research[removed]2113 Submitted 2/10; Revised 4/10; Published 8/10 Model-based Boosting 2.0 Torsten Hothorn Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-18 16:38:50 Additive model Boosting Least squares Quantile regression Gradient boosting Statistics Regression analysis Logistic regression
224	Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-03-26 17:45:20 Econometrics Perceptron Backpropagation Support vector machine Supervised learning Stochastic gradient descent Loss function Regression analysis Multilayer perceptron Statistics Machine learning Neural networks
225	1 Supporting Australian Mathematics Project Add to Reading List Source URL: www.amsi.org.au Language: English - Date: 2013-11-06 00:06:14 Differential calculus Functions and mappings Differential geometry Analytic geometry Derivative Tangent Second derivative Generalizations of the derivative Gradient Mathematical analysis Mathematics Calculus
226	Smoothing Multivariate Performance Measures Xinhua Zhang Ankan Saha S.V. N. Vishwanathan Department of Computing Science Department of Computer Science Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-07-19 07:52:45 Gradient Vector calculus Support Convex optimization Mathematical analysis Calculus Differential calculus
227	Convergence acceleration method of large-scale parallel iterative solvers for heterogeneous properties Kengo Nakajima Research Organization for Information Science & Technology (RIST), (e-mail [removed]; Add to Reading List Source URL: quakes.earth.uq.edu.au Language: English - Date: 2001-02-26 20:33:12 Mathematical analysis Preconditioner Conjugate gradient method Iterative method Biconjugate gradient stabilized method Generalized minimal residual method Parallel computing Mathematical optimization Numerical linear algebra Mathematics Applied mathematics
228	________________________________________________________________________________ Numerical Methods Prof. A. Bellen _______________________________________________________________________________ Add to Reading List Source URL: nettuno.ogs.trieste.it Language: English - Date: 2010-12-01 02:13:00 Numerical linear algebra Generalized minimal residual method Polynomial Krylov subspace Biconjugate gradient stabilized method Vector space Iterative method Preconditioner Interpolation Algebra Mathematics Numerical analysis
229	End of linear algebraic systems and finite differences Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-04-02 12:13:45 Iterative method Krylov subspace Conjugate gradient method Generalized minimal residual method Preconditioner Gauss–Seidel method Biconjugate gradient method Successive over-relaxation Mathematical optimization Numerical analysis Numerical linear algebra Mathematics
230	NEWTON-GMRES PRECONDITIONING FOR DISCONTINUOUS GALERKIN DISCRETIZATIONS OF THE NAVIER-STOKES EQUATIONS P.-O. PERSSON∗ AND J. PERAIRE† Abstract. We study preconditioners for the iterative solution of the linear system Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2007-10-17 09:20:56 Numerical linear algebra Preconditioner Sparse matrix Galerkin method Multigrid method LU decomposition Minimum degree algorithm Matrix decomposition Conjugate gradient method Numerical analysis Mathematics Algebra

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