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Thesis

Explanation from neural networks

Abstract:

Neural networks have frequently been found to give accurate solutions to hard classification problems. However neural networks do not make explained classifications because the class boundaries are implicitly defined by the network weights, and these weights do not lend themselves to simple analysis. Explanation is desirable because it gives problem insight both to the designer and to the user of the classifier.

Many methods have been suggested for explaining the classification give...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Edmund Hall
Role:
Author
More by this author
Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Publication date:
1998
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:b94d702a-1243-4702-b751-68784c855ab2
Local pid:
ora:6238
Deposit date:
2012-05-18

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