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» Being Bayesian about Network Structure
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ICVS
1999
Springer
14 years 2 months ago
Ascender II, a Visual Framework for 3D Reconstruction
This paper presents interim results from an ongoing project on aerial image reconstruction. One important task in image interpretation is the process of understanding and identifyi...
Maurício Marengoni, Christopher O. Jaynes, ...
ESANN
2004
13 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
SCCC
2007
IEEE
14 years 4 months ago
A Relaxed-Ring for Self-Organising and Fault-Tolerant Peer-to-Peer Networks
There is no doubt about the increase in popularity of decentralised systems over the classical client-server architecture in distributed applications. These systems are developed ...
Boris Mejías, Peter Van Roy
BMCBI
2010
96views more  BMCBI 2010»
13 years 10 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
BMCBI
2010
178views more  BMCBI 2010»
13 years 10 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling