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IJAR
2006
89views more  IJAR 2006»
15 years 4 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
BMCBI
2010
126views more  BMCBI 2010»
15 years 1 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
CCR
2004
147views more  CCR 2004»
15 years 4 months ago
Safe compositional specification of networking systems
The science of network service composition has emerged as one of the grand themes of networking research [17] as a direct result of the complexity and sophistication of emerging n...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
ACL
1998
15 years 5 months ago
Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora
This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. A...
Éric Gaussier
IJCAI
2003
15 years 5 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