710 search results - page 63 / 142 » Online Learning with Prior Knowledge |
182
Voted
CORR
2011
Springer
14 years 10 months 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...
146
Voted
WWW
2005
ACM
16 years 4 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...
156
Voted
CIKM
2010
Springer
15 years 1 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, ...
133
Voted
IJAR
2007
15 years 3 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...
116
Voted
ECSQARU
2005
Springer
15 years 9 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...