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ICML
2002
IEEE
16 years 7 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ICML
1999
IEEE
16 years 7 months ago
Approximation Via Value Unification
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Paul E. Utgoff, David J. Stracuzzi
SIGSOFT
2001
ACM
16 years 7 months ago
A graph based architectural (Re)configuration language
For several different reasons, such as changes in the business or technological environment, the configuration of a system may need to evolve during execution. Support for such ev...
Michel Wermelinger, Antónia Lopes, Jos&eacu...
ISBI
2004
IEEE
16 years 7 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang
WWW
2008
ACM
16 years 7 months ago
Mashups for semantic user profiles
In this paper, we discuss challenges and provide solutions for capturing and maintaining accurate models of user profiles using semantic web technologies, by aggregating and shari...
Riddhiman Ghosh, Mohamed Dekhil