249 search results - page 21 / 50 » Learning Causal Models of Relational Domains |
ECOOPW
1999
Springer
13 years 11 months ago
1999
Springer
Although a considerable number of successful frameworks have been developed during the last decade, designing a high-quality framework is still a difficult task. Generally, it is ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
KES
2007
Springer
14 years 1 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
AAAI
2011
12 years 7 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
ETS
2006
IEEE
13 years 7 months ago
2006
IEEE
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...