An extreme function theory for novelty detection
We introduce an extreme function theory as a novel method by which probabilistic novelty detection may be performed with functions, where the functions are represented by time-series of (potentially multivariate) discrete observations. We set the method within the framework of Gaussian processes (GP...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Published: |
IEEE
2012
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