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Gaussian function
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121	Space-time modelling: Spatial modelling Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:54:15 Estimation theory Econometrics Data analysis Variogram Kriging Linear regression Covariance function Multivariate normal distribution Gaussian process Statistics Geostatistics Covariance and correlation
122	Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-03-23 05:55:28 Monte Carlo methods Geostatistics Computational statistics Spatial data analysis Markov chain Monte Carlo Markov chain Normal distribution Markov random field Covariance function Statistics Probability and statistics Markov models
123	Scalable learning through linearithmic time kernel approximation techniques Johan von Tangen Sivertsen March 24, 2014 Abstract Add to Reading List Source URL: www.itu.dk Language: English - Date: 2014-03-28 07:27:25 Linear algebra Statistical classification Abstract algebra Operator theory Functional analysis Kernel trick Kernel Gaussian function Linear classifier Algebra Mathematics Machine learning
124	International Journal of Neural Systems c World Scientific Publishing Company EVOLUTIONARY OPTIMIZATION OF SEQUENCE KERNELS FOR DETECTION OF BACTERIAL GENE STARTS Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Statistical classification Operator theory Hilbert space Support vector machine CMA-ES Kernel methods Kernel Markov chain Gaussian function Statistics Machine learning Mathematics
125	Microsoft Word - APWeb2010.doc Add to Reading List Source URL: www.itu.dk Language: English - Date: 2010-01-21 11:47:38 Statistics Multivariate statistics Mathematical optimization Search algorithms Image processing Gaussian function Nearest neighbor search Time series Dimension reduction Information science Machine learning Mathematics
126	CVaR sensitivity with respect to tail thickness by Stoyan V. Stoyanov, Svetlozar T. Rachev, Frank J. Fabozzi Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2011-05-18 10:45:52 Normal distribution Stable distribution Fat-tailed distribution Characteristic function Skewness Greek letters Symbol Exponentially modified Gaussian distribution Statistics Probability theory Probability
127	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
128	Gaussian Process Preference Elicitation Edwin V. Bonilla, Shengbo Guo, Scott Sanner NICTA & ANU, Locked Bag 8001, Canberra ACT 2601, Australia {edwin.bonilla, shengbo.guo, scott.sanner}@nicta.com.au Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-05 21:14:04 Statistical theory Econometrics Information systems Normal distribution Preference elicitation Loss function Collaborative filtering Likelihood function Gaussian process Statistics Estimation theory Bayesian statistics
129	Information bounds for Gaussian copulas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-03-04 18:56:11 Bayesian statistics M-estimators Maximum likelihood Copula Marginal likelihood Fisher information Likelihood function Multivariate normal distribution Parametric model Statistics Estimation theory Statistical theory
130	Score-based Bayesian Skill Learning 17 This document is the supplemental material to the ECML-PKDD’12 submission. Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-06-28 07:35:09 Gaussian function Exponentials Normal distribution Gaussian integral Exponentiation Mathematical analysis Mathematics Statistics

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