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BMCBI
2011
13 years 2 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
PERCOM
2005
ACM
14 years 7 months ago
Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
Pervasive eLearning requires a novel media perspective on learning objects. Instead of viewing handhelds or smart phones as minimized PCs we would like to propose a perspective on...
Reinhard Keil-Slawik, Thorsten Hampel, Bernd E&szl...
ICWE
2007
Springer
14 years 1 months ago
The Use of a Bayesian Network for Web Effort Estimation
The objective of this paper is to describe the use of a probabilistic approach to Web effort estimation by means of a Bayesian Network. A Bayesian Network is a model that embodies ...
Emilia Mendes
ICCS
2005
Springer
14 years 1 months ago
Heuristic Algorithm for Anycast Flow Assignment in Connection-Oriented Networks
Abstract. Replication of content on geographically distributed servers can improve both performance and reliability of the Web service. Anycast is a one-toone-of-many delivery tech...
Krzysztof Walkowiak
ESANN
2000
13 years 9 months ago
A neural network architecture for automatic segmentation of fluorescence micrographs
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...