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Gradient descent
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251	Empirical Analysis of Generalization and Learning in XCS with Gradient Descent Pier Luca Lanzi†‡ , Martin V. Butz⋆ , David E. Goldberg‡ † ⋆ Add to Reading List Source URL: www.mindraces.org Language: English - Date: 2007-10-30 09:26:58 Tournament selection Reinforcement learning Classifier Machine learning Learning classifier system Parts of speech
252	174 IEEE TRANSACTIONS Oh’AUOMATIC CONTROL, VOL. AC-21, NO. 2,APRIL 1976 Add to Reading List Source URL: web.mit.edu Language: English - Date: 2014-05-01 00:50:06 Operations research Convex optimization Frank–Wolfe algorithm Constraint algorithm Gradient descent Optimal control Wolfe conditions Quadratic programming Linear programming Numerical analysis Mathematical optimization Mathematics
253	An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-11-28 10:53:32 Convex optimization Operations research Linear programming Gradient descent Duality Interior point method Lagrangian relaxation Reinforcement learning Markov decision process Mathematical optimization Numerical analysis Mathematical analysis
254	Abstract The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm a Add to Reading List Source URL: www.science-of-medicine.netne.net Language: English - Date: 2013-02-01 20:13:19 Convex optimization Linear programming Operations research Duality Optimization problem Gradient descent Semidefinite programming Mathematical optimization Numerical analysis Mathematical analysis
255	A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm Martin Riedmiller Heinrich Braun Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-09 12:05:45 Applied mathematics Mathematics Backpropagation Perceptron Multilayer perceptron Gradient descent Feedforward neural network Neural networks Cybernetics Rprop
256	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
257	Journal of Machine Learning Research[removed]2596 Submitted 5/09; Revised 3/10; Published[removed]Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-10-04 16:05:00 Convex analysis Stochastic optimization Convex optimization Operations research Subgradient method Stochastic gradient descent R. Tyrrell Rockafellar Stochastic approximation Least squares Mathematical optimization Mathematical analysis Numerical analysis
258	Learning Long-Term Dependencies with Gradient Descent is Dicult Yoshua Bengioy, Patrice Simardy, and Paolo Frasconiz yAT&T zDip. Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 22:24:14 Cybernetics Science Recurrent neural network Backpropagation through time Backpropagation Flip-flop Neural networks Computational neuroscience Machine learning
259	The Difficulty of Learning Long-Term Dependencies with Gradient Descent Papers by Y. Bengio, P. Simard, P. Frasconi, S. Hochreiter and J. Schmidhuber Presented by Keerthiram Murugesan Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-07 13:24:30 Neuroscience Artificial intelligence Science Recurrent neural network Backpropagation Types of artificial neural networks Neural networks Computational neuroscience Cybernetics
260	MO Mathematical Optimization Add to Reading List Source URL: aiinfinance.com Language: English - Date: 2012-06-26 15:07:16 Hessian matrix Global optimization Convex function Gradient descent Optimization problem Constraint optimization Quadratic programming Convex optimization Mathematical analysis Mathematical optimization Numerical analysis

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