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» Complexity of Inference in Graphical Models
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AAAI
2010
13 years 9 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos
DASFAA
2003
IEEE
142views Database» more  DASFAA 2003»
14 years 29 days ago
GLASS: A Graphical Query Language for Semi-Structured Data
The increase in the use of XML (eXtensible Markup Language) makes the semistructured data more and more important on the Web. To exploit the full power of XML documents, a query l...
Wei Ni, Tok Wang Ling
ICML
2004
IEEE
14 years 8 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
IEEEICCI
2006
IEEE
14 years 1 months ago
Adopting the Cognitive Complexity Measure for Business Process Models
Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To fulï...
Volker Gruhn, Ralf Laue
BIS
2006
144views Business» more  BIS 2006»
13 years 9 months ago
Complexity Metrics for business Process Models
Abstract. Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process...
Ralf Laue, Volker Gruhn