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Gradient descent
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#	Item
241	MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2001-04-10 14:19:22 Machine learning Support vector machine Wavelet Stochastic gradient descent Cross-validation Viseme Nonlinear regression Statistics Regression analysis Statistical classification
242	Optimization A framework for predictive analytics Matt Gattis, Hunch.com Simple Optimization Problem Add to Reading List Source URL: files.meetup.com Language: English - Date: 2010-11-13 08:28:33 Operations research Convex analysis Computational statistics Stochastic optimization Stochastic gradient descent Gradient descent Linear programming Convex optimization SciPy Mathematical optimization Numerical analysis Mathematical analysis
243	g2o: A General Framework for Graph Optimization Rainer K¨ummerle Giorgio Grisetti Hauke Strasdat Add to Reading List Source URL: ais.informatik.uni-freiburg.de Language: English - Date: 2011-02-09 03:49:00 Least squares Mathematical optimization Numerical linear algebra Regression analysis Matrices Bundle adjustment Preconditioner Non-linear least squares Gradient descent Mathematics Mathematical analysis Algebra
244	MEAN-NORMALIZED STOCHASTIC GRADIENT FOR LARGE-SCALE DEEP LEARNING Simon Wiesler1 , Alexander Richard1 , Ralf Schl¨uter1 , Hermann Ney1,2 1 Human Language Technology and Pattern Recognition, Computer Science Department, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Artificial intelligence Perceptron Stochastic gradient descent Early stopping Backpropagation Overfitting Speech recognition Mathematical optimization Neural networks Statistics Cybernetics
245	MEAN-NORMALIZED STOCHASTIC GRADIENT FOR LARGE-SCALE DEEP LEARNING Simon Wiesler1 , Alexander Richard1 , Ralf Schl¨uter1 , Hermann Ney1,2 1 Human Language Technology and Pattern Recognition, Computer Science Department, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Artificial intelligence Perceptron Stochastic gradient descent Early stopping Backpropagation Overfitting Speech recognition Mathematical optimization Neural networks Statistics Cybernetics
246	Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu, Benjamin Recht, Christopher R´e and Stephen J. Wright Computer Sciences Department, University of Wisconsin-Madison 1210 W Dayton St, Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-08-22 23:36:09 Gradient descent Gradient Numerical analysis Mathematical analysis Mathematics
247	14 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 1, JANUARY 2007 Backpropagation Algorithms for a Broad Class of Dynamic Networks Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2009-12-17 20:17:10 Science Backpropagation through time Recurrent neural network Backpropagation Perceptron Multilayer perceptron Algorithm Gradient descent Types of artificial neural networks Neural networks Cybernetics Applied mathematics
248	14 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 1, JANUARY 2007 Backpropagation Algorithms for a Broad Class of Dynamic Networks Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2009-12-17 20:17:10 Science Backpropagation through time Recurrent neural network Backpropagation Perceptron Multilayer perceptron Algorithm Gradient descent Types of artificial neural networks Neural networks Cybernetics Applied mathematics
249	Parallelized Stochastic Gradient Descent Markus Weimer Yahoo! Labs Sunnyvale, CA[removed]removed] Add to Reading List Source URL: martin.zinkevich.org Language: English - Date: 2010-10-30 00:56:22 Statistics Mathematical analysis Stochastic optimization Lipschitz continuity Spectral theory Convex optimization Artificial neural network Stochastic gradient descent Spectral theory of ordinary differential equations Computational statistics Mathematics Neural networks
250	Parallel Boosting with Momentum Indraneel Mukherjee, Kevin Canini, Rafael Frongillo? , and Yoram Singer Google Inc. Abstract. We describe a new, simplified, and general analysis of a fusion of Nesterov’s accelerated gr Add to Reading List Source URL: canini.me Language: English - Date: 2013-06-29 02:08:53 Vector calculus Abstract algebra Linear algebra Differential calculus Vectors Vector space Gradient descent Gradient Coordinate descent Algebra Mathematics Numerical analysis

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