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ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
IDA
2003
Springer
14 years 1 months ago
Guided Incremental Construction of Belief Networks
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
IEAAIE
1994
Springer
14 years 4 days ago
Applying Blackboard Techniques to Real-Time Signal Processing and Multimedia Network Management
Two recent projects at ORA have used a blackboard framework during system design.1 DANA is a multimedia network monitoring system, while MARRS is a real-time passive radar system....
Randall J. Calistri-Yeh
ASUNAM
2010
IEEE
13 years 9 months ago
Assessing Expertise Awareness in Resolution Networks
Problem resolution is a key issue in the IT service industry. A large service provider handles, on daily basis, thousands of tickets that report various types of problems from its...
Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis, Qih...
BMCBI
2010
172views more  BMCBI 2010»
13 years 8 months ago
Inferring gene regression networks with model trees
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...
Isabel A. Nepomuceno-Chamorro, Jesús S. Agu...