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Multi Facet Learning in Hilbert Spaces

Risi Kondor; Gábor Csányi; Sebastian E. Ahnert; Tony Jebara

Title:
Multi Facet Learning in Hilbert Spaces
Author(s):
Kondor, Risi
Csányi, Gábor
Ahnert, Sebastian E.
Jebara, Tony
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
Series:
Columbia University Computer Science Technical Reports
Part Number:
CUCS-054-05
Abstract:
We extend the kernel based learning framework to learning from linear functionals, such as partial derivatives. The learning problem is formulated as a generalized regularized risk minimization problem, possibly involving several different functionals. We show how to reduce this to conventional kernel based learning methods and explore a specific application in Computational Condensed Matter Physics.
Subject(s):
Computer science
Item views:
208
Metadata:
text | xml
Suggested Citation:
Risi Kondor, Gábor Csányi, Sebastian E. Ahnert, Tony Jebara, 2005, Multi Facet Learning in Hilbert Spaces, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:29435.

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