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IJCAI
2003
14 years 12 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
MMB
2010
Springer
180views Communications» more  MMB 2010»
15 years 17 days ago
ResiLyzer: A Tool for Resilience Analysis in Packet-Switched Communication Networks
We present a tool for the analysis of fault-tolerance in packet-switched communication networks. Network elements like links or routers can fail or unexpected traffic surges may o...
David Hock, Michael Menth, Matthias Hartmann, Chri...
KI
2010
Springer
14 years 8 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck
IEEEARES
2006
IEEE
15 years 4 months ago
Bayesian Networks Implementation of the Dempster Shafer Theory to Model Reliability Uncertainty
In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems...
Christophe Simon, Philippe Weber
BMCBI
2010
229views more  BMCBI 2010»
14 years 10 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