710 search results - page 63 / 142 » Online Learning with Prior Knowledge |
215
Voted
CORR
2011
Springer
15 years 18 days ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
165
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WWW
2005
ACM
16 years 6 months ago
2005
ACM
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
189
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CIKM
2010
Springer
15 years 3 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
161
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IJAR
2007
15 years 5 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
142
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ECSQARU
2005
Springer
15 years 11 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...