Prediction and fault detection of environmental signals with uncharacterised faults
Many signals of interest are corrupted by faults of an unknown type. We propose an approach that uses Gaussian processes and a general "fault bucket" to capture a priori uncharacterised faults, along with an approximate method for marginalising the potential faultiness of all observations....
| Main Authors: | , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
2012
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