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» Distributed Computation in Dynamic Networks
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WSC
2008
15 years 9 months ago
Dynamic entity distribution in parallel discrete event simulation
Event based simulations are an important scientific application in many fields. With the rise of cluster computing, distributed event simulation optimization becomes an essential ...
Michael Slavik, Imad Mahgoub, Ahmed Badi
ISQED
2008
IEEE
153views Hardware» more  ISQED 2008»
16 years 1 months ago
Accelerating Clock Mesh Simulation Using Matrix-Level Macromodels and Dynamic Time Step Rounding
Clock meshes have found increasingly wide applications in today’s high-performance IC designs. The inherent routing redundancies associated with clock meshes lead to improved cl...
Xiaoji Ye, Min Zhao, Rajendran Panda, Peng Li, Jia...
SARA
2007
Springer
16 years 23 days ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
161
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SIGMOD
2003
ACM
124views Database» more  SIGMOD 2003»
16 years 6 months ago
Dynamic XML documents with distribution and replication
The advent of XML as a universal exchange format, and of Web services as a basis for distributed computing, has fostered the apparition of a new class of documents: dynamic XML do...
Serge Abiteboul, Angela Bonifati, Gregory Cobena, ...
BMCBI
2010
229views more  BMCBI 2010»
15 years 6 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck