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SWAP
2008
13 years 10 months ago
Learning SHIQ+log Rules for Ontology Evolution
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
Francesca A. Lisi, Floriana Esposito
BMCBI
2008
114views more  BMCBI 2008»
13 years 9 months ago
Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale represen
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
Leonid Zaslavsky, Yiming Bao, Tatiana A. Tatusova
IJCV
2008
167views more  IJCV 2008»
13 years 8 months ago
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
Abstract. A novel adaptive and exemplar-based approach is proposed for image restoration (denoising) and representation. The method is based on a pointwise selection of similar ima...
Charles Kervrann, Jérôme Boulanger
AH
2004
Springer
14 years 2 months ago
Myriad: An Architecture for Contextualized Information Retrieval and Delivery
Users’ information needs are largely driven by the context in which they make their decisions. This context is dynamic. It includes the users’ characteristics, their current do...
Cécile Paris, Mingfang Wu, Keith Vander Lin...
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 1 months ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...