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IJON
2010
138views more  IJON 2010»
13 years 6 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
13 years 12 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
NIPS
2000
13 years 8 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland
PPDP
2004
Springer
14 years 26 days ago
JIAD: a tool to infer design patterns in refactoring
Refactoring in object-orientation has gained increased attention due to its ability to improve design quality. Refactoring using design patterns (DPs) leads to production of high ...
J. Rajesh, D. Janakiram
DEBS
2008
ACM
13 years 9 months ago
Relative temporal constraints in the Rete algorithm for complex event detection
Complex Event Processing is an important technology for information systems with a broad application space ranging from supply chain management, systems monitoring, and stock mark...
Karen Walzer, Tino Breddin, Matthias Groch