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Gaussian
Results: 2017

#	Item
891	Small Linearization: Memory Friendly Solving of Non-Linear Equations over Finite Fields Christopher Wolf & Enrico Thomae Horst Görtz Institute for IT-security Faculty of Mathematics Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2011-12-14 05:32:54 Computer algebra Numerical linear algebra Finite fields Algebraic geometry Error detection and correction Gröbner basis Matrix Hidden Field Equations Gaussian elimination Algebra Mathematics Abstract algebra
892	Intro Statistical Model Results Fast Estimation of Spatially Dependent Temporal Trends using Gaussian Markov Random Fields David Bolin1 , Johan Lindstr¨ om1 , Lars Eklundh2 , Finn Lindgren1 Add to Reading List Source URL: www.maths.lth.se Language: English - Date: 2011-03-02 08:54:26 Statistical methods Actuarial science Regression analysis Normalized Difference Vegetation Index Estimation theory Statistics Econometrics Remote sensing
893	Bayesian Inference for Non-Markovian Point Processes Peter Guttorp∗ and Thordis L. Thorarinsdottir† November 19, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-11-19 13:41:42 Bayesian statistics Estimation theory Conjugate prior Cox process Point process Marginal likelihood Normal distribution Gaussian process Bayes estimator Statistics Stochastic processes Poisson processes
894	Fast and Scalable Polynomial Kernels via Explicit Feature Maps * Ninh Pham Rasmus Pagh Add to Reading List Source URL: www.itu.dk Language: English - Date: 2013-10-15 07:20:42 Mathematical analysis Support vector machine Gaussian function Pattern recognition Projection Kernel P Statistics Mathematics Statistical classification
895	J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2011-12-21 15:18:36 Estimation theory Markov models Probability theory Variational Bayesian methods Mixture model Normal distribution Marginal likelihood Deviance information criterion Gaussian process Statistics Probability and statistics Bayesian statistics
896	Multi-stage programming with functors and monads: eliminating abstraction overhead from generic code Jacques Carette 1 McMaster University, 1280 Main St. West, Hamilton, Ontario Canada L8S 4K1 Add to Reading List Source URL: okmij.org Language: English - Date: 2009-01-01 23:48:44 Numerical linear algebra Matrix theory Matrices LU decomposition Gaussian elimination Matrix Rank Determinant Cholesky decomposition Algebra Linear algebra Mathematics
897	Space-time modelling: Gaussian Markov Random Fields Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:54:35 Probability and statistics Graphical models Probability Markov processes Networks Markov random field Markov property Random field Statistics Probability theory Markov models
898	Breaking An Identity-Based Encryption Scheme based on DHIES Martin R. Albrecht1 and Kenneth G. Paterson2? 1 INRIA, Paris-Rocquencourt Center, SALSA Project UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France CNRS, Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2011-08-30 13:51:52 ID-based encryption RSA XTR Gaussian elimination Cryptography Public-key cryptography Electronic commerce
899	Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping Jie Yang† , Henry C.M. Leung† , S.M. Yiu† , Yunpeng Cai‡ , Francis Y.L. Chin† * † Department of Computer Science, The University of Ho Add to Reading List Source URL: i.cs.hku.hk Language: English - Date: 2014-12-11 20:33:21 Estimation theory Graphical models Bayesian statistics Bayesian network Linear regression Variance Feature selection Normal distribution Tikhonov regularization Statistics Econometrics Regression analysis
900	Decision-theoretic Sparsification for Gaussian Process Preference Learning M. Ehsan Abbasnejad1 , Edwin V. Bonilla2 , and Scott Sanner3 1 2 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Symbol Kullback–Leibler divergence Statistics Normal distribution Model theory

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