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CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
CORR
2010
Springer
175views Education» more  CORR 2010»
15 years 6 months ago
The Dynamics of Vehicular Networks in Urban Environments
Vehicular Ad hoc NETworks (VANETs) have emerged as a platform to support intelligent inter-vehicle communication and improve traffic safety and performance. The road-constrained a...
Nicholas Loulloudes, George Pallis, Marios D. Dika...
CORR
2008
Springer
143views Education» more  CORR 2008»
15 years 6 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...
DSP
2008
15 years 6 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson
BMCBI
2006
84views more  BMCBI 2006»
15 years 6 months ago
Representation of target-bound drugs by computed conformers: implications for conformational libraries
Background: The increasing number of known protein structures provides valuable information about pharmaceutical targets. Drug binding sites are identifiable and suitable lead com...
Stefan Günther, Christian Senger, Elke Michal...
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