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» Data Provenance in Distributed Propagator Networks
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BMCBI
2010
229views more  BMCBI 2010»
13 years 8 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
HPDC
2006
IEEE
14 years 2 months ago
Optimal Bandwidth Sharing in Grid Environments
We consider the problem of bulk data transfers and bandwidth sharing in the context of grid infrastructures. Grid computing empowers high-performance computing in a large-scale di...
Loris Marchal, Pascale Vicat-Blanc Primet, Yves Ro...
ICPP
2006
IEEE
14 years 1 months ago
Adaptively Routing P2P Queries Using Association Analysis
Unstructured peer-to-peer networks have become a very popular method for content distribution in the past few years. By not enforcing strict rules on the network’s topology or c...
Brian D. Connelly, Christopher W. Bowron, Li Xiao,...
VLDB
2002
ACM
264views Database» more  VLDB 2002»
13 years 7 months ago
Viator - A Tool Family for Graphical Networking and Data View Creation
Web-based data sources, particularly in Life Sciences, grow in diversity and volume. Most of the data collections are equipped with common document search, hyperlink and retrieval...
Stephan Heymann, Katja Tham, Axel Kilian, Gunnar W...
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
14 years 2 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...