Journal article
One-class classification of point patterns of extremes
- Abstract:
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Novelty detection or one-class classification starts from a model describing some type of ‘normal behaviour’ and aims to classify deviations from this model as being either novelties or anomalies.
Expand abstract
In this paper the problem of novelty detection for point patterns S = {x1, . . . , xk} ⊂ R d is treated where examples of anomalies are very sparse, or even absent. The latter complicates the tuning of hyperparameters in models commonly used for novelty detection, such as one-class support vec...
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 856.4KB)
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(Accepted manuscript, pdf, 882.4KB)
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Authors
Funding
+ Royal Academy of Engineering
More from this funder
Funding agency for:
Clifton, D
Grant:
Healthcare Technologies Challenge Award
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Clifton, D
Grant:
Healthcare Technologies Challenge Award
Bibliographic Details
- Publisher:
- Journal of Machine Learning Research Publisher's website
- Journal:
- Journal of Machine Learning Research Journal website
- Volume:
- 17
- Issue:
- 191
- Pages:
- 1-21
- Publication date:
- 2016-09-01
- Acceptance date:
- 2016-09-23
- EISSN:
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1533-7928
- ISSN:
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1532-4435
- Source identifiers:
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646330
Item Description
- Keywords:
- Pubs id:
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pubs:646330
- UUID:
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uuid:386532c1-0ac3-44dc-abe2-38eced6c1b8a
- Local pid:
- pubs:646330
- Deposit date:
- 2016-09-26
Terms of use
- Copyright holder:
- Luca, Clifton and Vanrumste
- Copyright date:
- 2016
- Notes:
- © 2016 Stijn Luca, David Clifton and Bart Vanrumste.
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