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» Structure learning of Bayesian networks using constraints
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WWW
2002
ACM
16 years 5 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...
KES
2005
Springer
15 years 10 months ago
Design of a Digital Forensics Image Mining System
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
Ross Brown, Binh Pham, Olivier Y. de Vel
TON
2010
163views more  TON 2010»
15 years 3 months ago
Toward practical opportunistic routing with intra-session network coding for mesh networks
—We consider opportunistic routing in wireless mesh networks. We exploit the inherent diversity of the broadcast nature of wireless by making use of multi-path routing. We presen...
Bozidar Radunovic, Christos Gkantsidis, Peter B. K...
TVCG
2008
119views more  TVCG 2008»
15 years 4 months ago
Exploration of Networks using overview+detail with Constraint-based cooperative layout
A standard approach to large network visualization is to provide an overview of the network and a detailed view of a small component of the graph centred around a focal node. The u...
Tim Dwyer, Kim Marriott, Falk Schreiber, Peter J. ...
149
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 4 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...