1073 search results - page 83 / 215 » An Introduction to Learning Structured Information |
AI
2002
Springer
14 years 9 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
IIE
2008
14 years 9 months ago
2008
Abstract. An exploratory study of students' engagement in online learning and knowledge building is presented in this paper. Learning in an online community, composed of stude...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
IJAR
2010
14 years 8 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
CSCW
2008
ACM
14 years 10 months ago
2008
ACM
This study examines visitors' use of two different electronic guidebook prototypes, the second an iteration of the first, that were developed to support social interaction bet...