iqiukp / Gaussian-Process-Regression
Gaussian Process Regression using GPML toolbox
☆35Updated 5 years ago
Alternatives and similar repositories for Gaussian-Process-Regression:
Users that are interested in Gaussian-Process-Regression are comparing it to the libraries listed below
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 6 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 7 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆26Updated 10 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…☆36Updated 9 years ago
- ☆20Updated 3 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Dynamic Mode Decomposition (DMD)☆33Updated 3 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆35Updated last year
- Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.☆13Updated 7 years ago
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆12Updated 4 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆18Updated 3 years ago
- BILSTM，GRU，LSTM☆16Updated 11 months ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- 高斯过程回归☆76Updated 2 years ago
- Source code of the paper: Dang C., Xu, J. Unified reliability assessment for problems with low- to high-dimensional random inputs using t…☆10Updated 3 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆16Updated 10 months ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆36Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆13Updated 5 years ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆13Updated last year
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆25Updated 4 years ago
- Gradient-enhanced Kriging surrogate model☆19Updated 2 weeks ago
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- ☆14Updated 6 years ago
- A set of methods and proprieties to perform reliability-based-design-optimization by Scenario theory. Scenario optimization makes direct…☆16Updated 2 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago