506 search results - page 60 / 102 » Learning Bayesian Networks from Incomplete Databases |
ICHIM
2001
14 years 11 months ago
2001
Many archives have introduced online archival databases in the past few years. However, apart from being independent of place and time, hardly any of these databases make finding ...
115
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KDD
2012
ACM
13 years 10 days ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ATAL
2007
Springer
15 years 4 months ago
2007
Springer
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
106
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NIPS
2000
14 years 11 months ago
2000
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...