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Gradient descent
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271	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 Add to Reading List Source URL: www.mpi-inf.mpg.de Language: English - Date: 2013-02-28 04:51:16 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Stochastic gradient descent Matrix Expectation–maximization algorithm Least squares Mathematical optimization Statistics Mathematics Algebra
272	Projected Gradient Methods for Non-negative Matrix Factorization Chih-Jen Lin Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2011-04-07 10:47:46 Multivariate statistics Operations research Linear algebra Matrix theory Non-negative matrix factorization Mathematical optimization Coordinate descent Gradient descent Least squares Numerical analysis Mathematics Statistics
273	PDF Document Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-08-02 08:08:16 Statistical models Computational statistics Boltzmann machine Regression analysis Backpropagation Stochastic gradient descent Generative model Bayesian network Sampling Statistics Neural networks Machine learning
274	PDF Document Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-09-24 04:22:04 Numerical linear algebra Conjugate gradient method Preconditioner Iterative method Gradient descent Matrix Nonlinear conjugate gradient method Mathematical optimization Gradient method Numerical analysis Mathematics Algebra
275	PDF Document Add to Reading List Source URL: www.cns.bu.edu Language: English - Date: 2009-10-29 09:47:28 Theoretical computer science Computer vision Active contour model Mathematical optimization Segmentation Gradient descent Energy minimization Combinatorial optimization Optimization problem Numerical analysis Operations research Applied mathematics
276	PDF Document Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-02-16 17:45:09 Machine learning Computational statistics Convex analysis Supervised learning Parameter Support vector machine Normal distribution Cross-validation Stochastic gradient descent Statistics Mathematics Mathematical optimization
277	PDF Document Add to Reading List Source URL: acl.ldc.upenn.edu Language: English - Date: 2004-05-21 20:39:26 Mathematics Maximum likelihood Mathematical optimization Likelihood function Conjugate gradient method Gradient descent Quasi-Newton method Expectation–maximization algorithm CMA-ES Numerical analysis Statistics Estimation theory

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