Sparse Log Gaussian Process in Spatial Epidemiology RSS 2006, September 14th 2006 Jarno Vanhatalo* and Aki Vehtari

Source URL: www.lce.hut.fi

TO APPEAR IN PROC. OF 2014 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2014 EXPECTATION PROPAGATION FOR NONSTATIONARY HETEROSCEDASTIC GAUSSIAN PROCESS REGRESSION Ville Tolvanen1 , Pasi Jyl¨an

Source URL: becs.aalto.fi

Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression 1 Liefeng Bo1 Toyota Technological Institute at Chicago

Source URL: uai2008.cs.helsinki.fi

Speeding up the binary Gaussian process classification Jarno Vanhatalo Department of Biomedical Engineering and Computational Science Aalto University

Source URL: event.cwi.nl

Tree-structured Gaussian Process Approximations Thang Bui Richard Turner

Source URL: learning.eng.cam.ac.uk

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

Source URL: snowbird.djvuzone.org

Gaussian Process Lei Tang Arizona State University Jul. 31th, 2007

Source URL: leitang.net

The Gaussian Process Density Sampler Ryan Prescott Adams and David J.C. MacKay Cavendish Laboratory University of Cambridge Cambridge CB3 0HE, U.K. ,

Source URL: snowbird.djvuzone.org

A new generative model for sounds: The Gaussian Modulation Cascade Process Richard Turner () Maneesh Sahani () Gatsby Computational Neuroscience Unit,

Source URL: www.gatsby.ucl.ac.uk

Gaussian Processes and Kernel Methods (G8325) Fall 2015 https://courseworks.columbia.edu John P. Cunningham

Source URL: stat.columbia.edu

• Machine learning
• Geostatistics
• Nonparametric statistics
• Gaussian process
• Bayesian optimization
• Kernel method
• Kernel
• Pattern recognition
• Supervised learning
• Kriging
• Nonparametric regression
• Reproducing kernel Hilbert space