Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels

2012 ◽  
pp. 85-98 ◽  
Author(s):  
Erik Rodner ◽  
Alexander Freytag ◽  
Paul Bodesheim ◽  
Joachim Denzler
Keyword(s):  
Gaussian Process ◽  
Large Scale ◽  
Process Classification

Fast Analysis of Structural Reliability Using Gaussian Process Classification Based Dynamic Response Surface Method

2014 ◽  
Vol 501-504 ◽  
pp. 1067-1070
Author(s):  
Li Feng Peng ◽  
Guo Shao Su ◽  
Wei Zhao
Keyword(s):  
Monte Carlo ◽  
Dynamic Response ◽  
Gaussian Process ◽  
Response Surface ◽  
Large Scale ◽  
Structural Reliability ◽  
Fem Analysis ◽  
Fast Analysis ◽  
Highly Nonlinear ◽  
Process Classification

The performance function of large-scale complicated engineering structure is always highly nonlinear and implicit, and its reliability needs to be evaluated through a time-consuming Finite Element method (FEM). A new method, Gaussian process classification (GPC) dynamic response surface based on Monte Carlo Simulation (MCS) was proposed. Small training samples were created using FEM and Markov chain. Then, the most probable point (MPP) is predicted quickly using MCS without any extra FEM analysis. Furthermore, an iterative algorithm is presented to reduce the errors of GPC by using information of MPP to improve the reconstructing precision constantly. Then, Monte Carlo method combined with GPC surface is applied to get the probability of failure. Several examples results demonstrate the efficiency and robustness of the proposed method, compared with the results of common reliability methods.

Large-scale Gaussian process classification using random decision forests

2012 ◽  
Vol 22 (1) ◽  
pp. 113-120 ◽  
Author(s):  
B. Fröhlich ◽  
E. Rodner ◽  
M. Kemmler ◽  
J. Denzler
Keyword(s):  
Gaussian Process ◽  
Large Scale ◽  
Random Decision Forests ◽  
Process Classification

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods

2021 ◽  
pp. 1-13
Author(s):  
Haitao Liu ◽  
Yew-Soon Ong ◽  
Ziwei Yu ◽  
Jianfei Cai ◽  
Xiaobo Shen
Keyword(s):  
Gaussian Process ◽  
Additive Noise ◽  
Non Gaussian ◽  
Process Classification

Fuzzy Gaussian Process Classification Model

2009 ◽  
pp. 369-376 ◽  
Author(s):  
Eman Ahmed ◽  
Neamat El Gayar ◽  
Amir F. Atiya ◽  
Iman A. El Azab
Keyword(s):  
Gaussian Process ◽  
Classification Model ◽  
Process Classification
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