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» The Complexity of Graph Connectivity
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ESANN
2001
15 years 8 months ago
Optimal transfer function neural networks
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
Norbert Jankowski, Wlodzislaw Duch
204
Voted
AGTIVE
2007
Springer
16 years 1 months ago
Using Graph Transformation to Support Collaborative Ontology Evolution
In collaborative ontology engineering, contexts are key to manage the complexity of different dependency types between ontological artefacts. Instead of being frustrated by out-of...
Pieter De Leenheer, Tom Mens
KI
2007
Springer
16 years 1 months ago
Semantic Graph Visualisation for Mobile Semantic Web Interfaces
Information visualisation benefits from the Semantic Web: multimodal mobile interfaces to the Semantic Web offer access to complex knowledge and information structures. Natural l...
Daniel Sonntag, Philipp Heim
OTM
2007
Springer
16 years 1 months ago
Self-healing in Binomial Graph Networks
The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases...
Thara Angskun, George Bosilca, Jack Dongarra
WG
2007
Springer
16 years 29 days ago
On Finding Graph Clusterings with Maximum Modularity
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...