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Gradient analysis
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11	The Condition of a System of Linear Equations: Alternative Derivation Roland Angst Computer Vision and Geometry Lab, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-06-05 11:10:44 Algebra Mathematics Numerical analysis Numerical linear algebra Condition number Matrices Matrix Inequality Residual Regression analysis Conjugate gradient method Linear least squares
12	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
13	EUROGRAPHICSH. Hauser and E. Reinhard STAR – State of The Art Report State of the Art in Procedural Noise Functions A. Lagae1,2 S. Lefebvre2,3 R. Cook4 T. DeRose4 G. Drettakis2 D.S. Ebert5 J.P. Lewis6 K. Perlin Add to Reading List Source URL: scribblethink.org Language: English - Date: 2011-03-25 22:04:41 Noise Sound Signal processing Mathematical analysis Gradient noise Perlin noise Value noise Colors of noise Pink noise White noise Spectral density estimation Procedural texture
14	Mean curvature equation and mean curvature flow The mean curvature equation We found a simple and elementary proof for the interior gradient estimate for the mean curvature equation [mc1]. This proof also applies to the Add to Reading List Source URL: maths-people.anu.edu.au Language: English - Date: 2009-04-18 10:02:54 Mathematical analysis Differential geometry Geometry Geometric flow Curvature Surfaces Mean curvature flow Differential geometry of surfaces Mean curvature Curve-shortening flow Gaussian curvature
15	PDF Document Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2015-01-01 11:20:46 Mathematics Statistics Regression analysis Mathematical analysis Estimation theory Computational statistics Linear regression Stochastic gradient descent Cross entropy Gradient descent Derivative Euclidean vector
16	Asynchronous Knowledge Gradient Policy for Ranking and Selection Add to Reading List Source URL: informs-sim.org Language: English - Date: 2015-02-05 09:24:44 Statistics Operations research Probability Mathematical analysis Algorithm Mathematical logic Theoretical computer science Selection algorithm Mathematical optimization Simulation Normal distribution Logic simulation
17	CS168: The Modern Algorithmic Toolbox Lecture #5: Gradient Descent Basics Tim Roughgarden & Gregory Valiant∗ April 11, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Mathematical analysis Numerical analysis Mathematics Differential calculus Rates Vector calculus Convex analysis Gradient descent Convex optimization Mathematical optimization Derivative Normal
18	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:10 Statistics Mathematical analysis Statistical theory Estimation theory Bayesian statistics Stochastic optimization Probability theory Computational statistics Expectationmaximization algorithm Stochastic gradient descent OrnsteinUhlenbeck process Variational Bayesian methods
19	Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Mathematics Numerical analysis Algebra Linear algebra Convex optimization Operations research Computational statistics Mathematical optimization K-SVD Sparse approximation Deep learning Stochastic gradient descent
20	Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-05 16:26:18 Mathematical optimization Numerical analysis Mathematical analysis Convex optimization Stochastic optimization Machine learning Gradient descent Stochastic gradient descent Subgradient method Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm

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