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Schleif, 2015 - Google Patents

Generic probabilistic prototype based classification of vectorial and proximity data

Schleif, 2015

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Document ID
6845036303458306076
Author
Schleif F
Publication year
Publication venue
Neurocomputing

External Links

Snippet

In supervised learning probabilistic models are attractive to define discriminative models in a rigid mathematical framework. More recently, prototype approaches, known for compact and efficient models, were defined in a probabilistic setting, but are limited to metric vectorial …
Continue reading at research.birmingham.ac.uk (PDF) (other versions)

Classifications

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