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Skip to Search Results- 3Gaussian Process
- 1Causal Analysis
- 1Dynamic modeling
- 1EM algorithm
- 1Fault detection
- 1Flat-topped Gaussian Distribution
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Spring 2016
In data-driven modelling, model accuracy relies heavily on the data set collected from target process. However, various types of measurement noise exist extensively in industrial processes and the data obtained are usually contaminated. If the influence of measurement noise is neglected, both the...
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Spring 2024
Data has become an integral part of analysis and decision-making across various disciplines including health, economy, biology, process systems engineering, and sports. Despite the abundance of big data, the identification of the fundamental source of disruption in process systems engineering...
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Robust Gaussian Process Regression with a mixture of two Gaussian distributions as a noise model
DownloadSpring 2018
Increasingly many complex processes from the different fields of biological systems, engineering or econometrics are often required to be controlled. Hence, in such cases, we deal with identification of underlying complex processes which is essential for control design, optimization, and process...