A belief function theory based approach to combining different representation of uncertainty in prognostics

BARALDI, PIERO;ZIO, ENRICO
2015-01-01

2015
Belief function theory; Filter clogging; Gaussian process regression; Prognostics; Uncertainty representation; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/967775
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