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Approximations
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#	Item
361	2 The Independence of Linear Approximations in Symmetric Cryptanalysis S. Murphy Add to Reading List Source URL: www.isg.rhul.ac.uk Language: English - Date: 2006-12-18 03:49:36 Data analysis Covariance and correlation Algebra of random variables Covariance Multivariate normal distribution Moment-generating function Expected value Fisher information Characteristic function Statistics Probability and statistics Probability theory
362	Central limit theorems and diffusion approximations for multiscale Markov chain models Add to Reading List Source URL: www.math.wisc.edu Language: English - Date: 2014-05-16 12:51:42 Martingale theory Stochastic processes Quadratic variation Martingale Local martingale Distribution Markov chain Central limit theorem Statistics Mathematical analysis Probability theory
363	Tetrakaidecahedra These two identical 14-sided polyhedra (a.k.a. regular truncated octahedra or plane-faced isotropic tetrakaidecahedra) are approximations of Lord Kelvin’s Add to Reading List Source URL: zapatopi.net - Date: 2010-10-17 10:11:34
364	Asymptotic analysis of multiscale approximations to reaction networks Add to Reading List Source URL: www.math.wisc.edu Language: English - Date: 2007-01-11 13:13:00
365	Microsoft Word - articlepi.docx Add to Reading List Source URL: www.plouffe.fr Language: English - Date: 2014-05-28 20:29:25 Integer sequences Computer arithmetic Bailey–Borwein–Plouffe formula Approximations of π Pi Simon Plouffe Floating point Multiplication Algorithm Mathematics Numbers Elementary arithmetic
366	2. Effective Approximations of Matching Priors 1. Summary How can we achieve truly robust dense, real-time matching? The strong priors generally available on image correspondence problems, are often used partially and p Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-06-23 13:47:26 Chow Chow Matching Chow-Liu tree
367	Training Restricted Boltzmann Machines using Approximations to the Likelihood Gradient Tijmen Tieleman [removed] Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:20 Learning Statistics Artificial intelligence Computational statistics Boltzmann machine Supervised learning Statistical classification Artificial neural network Pattern recognition Machine learning Neural networks Computational neuroscience
368	Informal Remarks on the Orbit Structure of Discrete Approximations to Chaotic Maps Oscar E. Lanford III CONTENTS 1. Introduction Add to Reading List Source URL: www.math.harvard.edu Language: English - Date: 2013-12-22 12:53:25 Chaos theory Ergodic theory Orbit Cycle Rounding Discretization Invariant measure Attractor Mathematics Mathematical analysis Dynamical systems
369	Estimation of dynamic discrete choice models using artificial neural network approximations Andriy Norets ∗ Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:58 Estimation theory Computational statistics M-estimators Artificial neural network Artificial neuron Expectation–maximization algorithm Statistics Neural networks Computational neuroscience
370	Efficient implementation of the Hardy-Ramanujan-Rademacher formula or: Partitions in the quintillions Fredrik Johansson RISC-Linz Add to Reading List Source URL: fredrikj.net Language: English - Date: 2013-07-11 14:08:30 Combinatorics Pi Number theorists Factorial Srinivasa Ramanujan Approximations of π Partition FO Mathematics Integer sequences Number theory

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