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ESANN
2007
14 years 11 months ago
Learning topology of a labeled data set with the supervised generative gaussian graph
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
Pierre Gaillard, Michaël Aupetit, Géra...
BMCBI
2011
14 years 4 months ago
Properties of Metabolic Graphs: Biological Organization or Representation Artifacts?
Background: Standard graphs, where each edge links two nodes, have been extensively used to represent the connectivity of metabolic networks. It is based on this representation th...
Wanding Zhou, Luay Nakhleh
ENTER
2009
Springer
15 years 2 months ago
On the Importance of Hyperlinks: A Network Science Approach
Hyperlinks are the essence of the World Wide Web. Their importance is very high due to their ability to provide a visitor with a wealth of good quality information and for the rol...
Rodolfo Baggio, Magda Antonioli Corigliano
EUROPAR
2004
Springer
15 years 3 months ago
Cluster Based Distributed Mutual Exclusion Algorithms for Mobile Networks
We propose an architecture that consists of a ring of clusters for distributed mutual exclusion algorithms in mobile networks. The mobile network is partitioned into a number of cl...
Kayhan Erciyes
MEMBRANE
2004
Springer
15 years 3 months ago
LMNtal: A Language Model with Links and Membranes
LMNtal (pronounced “elemental”) is a simple language model based on graph rewriting that uses logical variables to represent links and membranes to represent hierarchies. The ...
Kazunori Ueda, Norio Kato