WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes - Concepedia

Concepedia

Publication | Open Access

WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes

DOI Full Paper Access

50

Citations

22

References

2018

Year

Anh Tran, John M. Furlan, Krishnan V. Pagalthivarthi, Robert Visintainer, Timothy Wildey, Yan Wang

Nodal Gaussian ProcessesEngineeringMachine LearningPattern RecognitionPredictive AnalyticsGaussian ProcessWear ModellingComputer Science

References

	Year	Citations

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