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BIRD
2007
Springer
118views Bioinformatics» more  BIRD 2007»
15 years 7 months ago
Biological Network Inference Using Redundancy Analysis
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bon...
ESANN
2006
15 years 5 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
CONCURRENCY
2002
112views more  CONCURRENCY 2002»
15 years 3 months ago
The Virtual Service Grid: an architecture for delivering high-end network services
This paper presents the design of a novel system architecture, Virtual Service Grid (VSG), for delivering high performance network services. The VSG is based on the concept of the...
Jon B. Weissman, Byoung-Dai Lee
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
15 years 10 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
114
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ICALT
2008
IEEE
15 years 10 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...