<--- Back to Details
First PageDocument Content
Mathematical analysis / Statistical theory / Probability theory / Normal distribution / Single-equation methods / Stable distributions / Estimation theory / Geostatistics / Gaussian process / Kriging / Linear regression / Bayesian linear regression
Mathematical analysis
Statistical theory
Probability theory
Normal distribution
Single-equation methods
Stable distributions
Estimation theory
Geostatistics
Gaussian process
Kriging
Linear regression
Bayesian linear regression

Gaussian Processes for Machine Learning

Add to Reading List

Source URL: www.gaussianprocess.org

Download Document from Source Website

File Size: 455,98 KB

Share Document on Facebook

Similar Documents

Self-reflective Multi-task Gaussian Process Kohei Hayashi1 , Takashi Takenouchi1 , Ryota Tomioka2 , Hisashi Kashima2 1 Graduate School of Information Science Nara Institute of Science and Technology

DocID: 1vo0l - View Document

A tutorial on Newton methods for constrained trajectory optimization and relations to SLAM, Gaussian Process smoothing, optimal control, and probabilistic inference Marc Toussaint March 9, 2017

DocID: 1vh2p - View Document

UCSD MAE280a final solutionsQ.1: A discrete-time Gaussian process vk is a random vector function of the timestep k such that the probability density function of vk is given by

DocID: 1vf48 - View Document

Scalable Log Determinants for Gaussian Process Kernel Learning David 1 Eriksson

DocID: 1v8kq - View Document

Gaussian Process Latent Random Field

DocID: 1uYRL - View Document