Results 141 to 150 of about 100,134 (161)
Some of the next articles are maybe not open access.
Sparse Spectrum Gaussian Process Regression.
J. Mach. Learn. Res., 2010We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algorithm for regression tasks. We compare the achievable trade-offs between predictive accuracy and computational requirements, and show that these are typically superior to ...
Lázaro-Gredilla, M. +3 more
openaire +2 more sources
Dynamic Transfer Gaussian Process Regression
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022Pengfei Wei 0001 +3 more
openaire +1 more source
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2022
Ikumasa Yoshida, Yoshida Ikumasa
exaly
Ikumasa Yoshida, Yoshida Ikumasa
exaly
Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression
Sustainability, 2022Mahmood Ahmad +2 more
exaly
Adaptive Model Predictive Control for Underwater Manipulators Using Gaussian Process Regression
Journal of Marine Science and Engineering, 2023Le Li, Weidong Liu
exaly
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
Journal of Mathematical Psychology, 2018Andreas Krause +2 more
exaly
Gaussian process regression for multivariate spectroscopic calibration
Chemometrics and Intelligent Laboratory Systems, 2007, Julian Morris, Elaine Martin
exaly
Gaussian Process Functional Regression Modeling for Batch Data
Biometrics, 2007Bo Wang, Roderick Murray-Smith
exaly