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» On expressiveness of the chain graph interpretations
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AI
2008
Springer
13 years 9 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
TIT
2010
107views Education» more  TIT 2010»
13 years 4 months ago
Information inequalities for joint distributions, with interpretations and applications
Upper and lower bounds are obtained for the joint entropy of a collection of random variables in terms of an arbitrary collection of subset joint entropies. These inequalities gene...
Mokshay M. Madiman, Prasad Tetali
BMCBI
2004
150views more  BMCBI 2004»
13 years 9 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ICDE
2001
IEEE
159views Database» more  ICDE 2001»
14 years 11 months ago
Workflow and Process Synchronization with Interaction Expressions and Graphs
Current workflow management technology does not provide adequate means for inter-workflow coordination as concurrently executing workflows are considered completely independent. W...
Christian Heinlein
IJCAI
1997
13 years 11 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn