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Gradient descent
Results: 277

#	Item
201	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 Peter J. Haas2 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:16 Matrix theory Multivariate statistics Non-negative matrix factorization Matrix Stochastic gradient descent Least squares Mathematical optimization Cholesky decomposition Algebra Mathematics Linear algebra
202	Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla December 17, 2011 Peter J. Haas Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:16 Matrix theory Matrix Recommender system Algebra Linear algebra Mathematics
203	15 Optimization Once you’ve gathered your data, selected a representation to work with, chosen a framework for function approximation, specified an error metric, and expressed your prior beliefs about the model, then Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-29 10:51:08 Nelder–Mead method Mathematical optimization Conjugate gradient method Gradient descent Simplex Numerical analysis Operations research Mathematics
204	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models
205	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
206	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models
207	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
208	Neural Networks[removed]–1451 www.elsevier.com/locate/neunet The general inefficiency of batch training for gradient descent learning D. Randall Wilsona,, Tony R. Martinezb,1 Add to Reading List Source URL: axon.cs.byu.edu Language: English* - Date: 2004-09-07 12:33:44 Numerical analysis Backpropagation Perceptron Gradient descent Reinforcement learning Gradient Multilayer perceptron Stochastic gradient descent Neural networks Machine learning Mathematics
209	Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai Shalev-Shwartz School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel Tong Zhang Department of S Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Mathematical optimization Stochastic optimization Stochastic gradient descent Convex optimization Support vector machine Duality Lp space Distribution Vector space Algebra Mathematics Mathematical analysis
210	Full waveform inversion by deconvolution gradient method Fuchun Gao, Paul Williamson, Henri Houllevigue, Total), 2012 Lei Fu Rice University Add to Reading List Source URL: www.trip.caam.rice.edu Language: English* - Date: 2012-11-26 10:32:15 Mathematical optimization Regression analysis Numerical linear algebra Deconvolution Gradient descent Gauss–Newton algorithm Gradient method ESCI Numerical analysis Signal processing Least squares

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