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» Learning Gaussian Process Models from Uncertain Data
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ATMOS
2011
261views Optimization» more  ATMOS 2011»
12 years 7 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...
ISBI
2011
IEEE
12 years 11 months ago
Fully automatic segmentation of wrist bones for arthritis patients
A reliable method to evaluate and follow the course of arthritis is given by examination of the carpal bones within the wrist joint. Humans typically have eight such small angular...
Martin Koch, Alexander G. Schwing, Dorin Comaniciu...
WSE
2002
IEEE
14 years 7 days ago
Laying the Foundation for Web Services over Legacy Systems
As the use of the World Wide Web becomes more pervasive within our society, businesses and institutions are required to migrate a wide range of services to the web. Difficulties a...
Janet Lavery, Cornelia Boldyreff, Bin Ling, Colin ...
BMCBI
2006
159views more  BMCBI 2006»
13 years 7 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 1 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula