451 search results - page 22 / 91 » Learning conditional preference networks |
JMLR
2010
13 years 2 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
ALT
2009
Springer
14 years 4 months ago
2009
Springer
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
UAI
1996
13 years 9 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
SIGITE
2004
ACM
14 years 1 months ago
2004
ACM
This experience report describes lessons learned using first generation tablet PCs to support active learning in an undergraduate computer science laboratory course. We learned th...