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Gaussian process
Results: 295

#	Item
271	CHRISTODOULAKIS cover2.doc Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2012-05-31 06:12:31 Loss given default Skewness Multivariate normal distribution Skew normal distribution Gaussian process Internal Ratings-Based Approach Statistics Probability and statistics Normal distribution
272	PILCO: A Model-Based and Data-Efficient Approach to Policy Search Marc Peter Deisenroth [removed] Department of Computer Science & Engineering, University of Washington, USA Carl Edward Rasmussen Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:33 Gaussian process Normal distribution Markov chain Machine learning Statistics Probability and statistics Markov models
273	BAYESIAN STATISTICS 6, pp[removed]J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith (Eds.)  Oxford University Press, 1998 Regression and Classification Using Gaussian Process Priors Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2009-10-20 12:40:35 Econometrics Bayesian statistics Geostatistics Gaussian process Covariance function Kriging Covariance Multivariate normal distribution Linear regression Statistics Covariance and correlation Regression analysis
274	Bayesian Analysis[removed], Number 1 A Dynamic Modelling Strategy for Bayesian Computer Model Emulation Add to Reading List Source URL: ftp.stat.duke.edu Language: English - Date: 2009-03-06 06:16:01 Control theory Scientific modeling Applied mathematics State space Computer simulation Vector autoregression Computer experiment Gaussian process emulator Statistics Science Computational science
275	Efficient Kriging via Fast Matrix-Vector Products. Nargess Memarsadeghi NASA/GSFC, Code 587 Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2008-04-01 17:36:01 Covariance and correlation Numerical linear algebra Interpolation Kriging Multivariate interpolation Gaussian function Gaussian process Normal distribution Covariance matrix Statistics Numerical analysis Geostatistics
276	Shift-invariant Grouped Multi-task Learning for Gaussian Processes Yuyang Wang1 , Roni Khardon1 , and Pavlos Protopapas2 Add to Reading List Source URL: www.cs.tufts.edu Language: English - Date: 2010-07-01 12:34:32 Econometrics Expectation–maximization algorithm Missing data Normal distribution Gaussian process Multivariate normal distribution Least squares Maximum likelihood Statistics Estimation theory Regression analysis
277	Notes on Gaussian Random Functions with Exponential Correlation Functions (Ornstein-Uhlenbeck Process) Add to Reading List Source URL: www.lanl.gov Language: English - Date: 2005-11-13 12:27:59 Stochastic processes Summary statistics Stochastic differential equations Normal distribution XM Satellite Radio Gaussian process Standard deviation Variance Ornstein–Uhlenbeck process Statistics Data analysis Probability theory
278	Fast large scale Gaussian process regression using approximate matrix-vector products Vikas C. Raykar and Ramani Duraiswami Department of Computer Science and Institute for advanced computer studies University of Marylan Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-18 15:15:55 Numerical linear algebra Regression analysis Econometrics Data analysis Singular value decomposition Gaussian function Multivariate normal distribution Linear regression Cholesky decomposition Statistics Algebra Mathematics
279	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami University of Maryland, CollegePark {vikas,ramani}@cs.umd.edu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2005-12-15 12:21:38 Gaussian function Non-parametric statistics Multivariate statistics Signal processing Statistical classification Kernel principal component analysis Kernel density estimation Positive-definite kernel Gaussian process Statistics Machine learning Mathematics
280	Fast large scale Gaussian process regression using approximate matrix-vector products Vikas C. Raykar and Ramani Duraiswami Department of Computer Science and Institute for advanced computer studies University of Marylan Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-13 00:42:38 Mathematical analysis Regression analysis Matrix Conjugate gradient method Krylov subspace Gaussian function Numerical analysis Numerical linear algebra Statistics Mathematics

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