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Zoekopdracht: faculteit: "FNWI" en publicatiejaar: "2007"

AuteurHöskuldur Hlynsson
TitelTransfer Learning Using the Minimum Description Length Principle with a Decision Tree Application
Jaar2007
FaculteitFaculteit der Natuurwetenschappen, Wiskunde en Informatica
Instituut/afd.FNWI/FGw: Institute for Logic, Language and Computation (ILLC)
SerieILLC Master of Logic Theses / ILLC ; MoL-2007-03
SamenvattingTransfer Learning Using the Minimum Description Length Principle with a
Decision Tree Application
H�skuldur Hlynsson


Abstract:
Transfer learning is about how learning from one domain or a
collection of domains can be applied to another. It is learning from
similarities and parallels, from experience. This paper is about a
distribution free, data driven, extendable framework for transfer
learning, based on the minimum description length principle. We define
transfer learning in terms of a specific framework, where we have a
collection of hypothesis from other application domains available, but
not the data, a learning algorithm consistent over domains and a new,
previously unseen learning task.
Soort documentPreprint
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