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» Deriving Object-Oriented Frameworks from Domain Knowledge
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INFOCOM
2005
IEEE
13 years 11 months ago
Perfect simulation and stationarity of a class of mobility models
— We define “random trip", a generic mobility model for independent mobiles that contains as special cases: the random waypoint on convex or non convex domains, random wa...
Jean-Yves Le Boudec, Milan Vojnovic
GRID
2005
Springer
13 years 11 months ago
Adaptive trust negotiation and access control for grids
— Access control in computational grids is typically provided by a combination of identity certificates and local accounts. This approach does not scale as the number of users a...
Tatyana Ryutov, Li Zhou, B. Clifford Neuman, Noria...
ESANN
2007
13 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 5 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
MICCAI
2010
Springer
13 years 3 months ago
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
Groupwise registration has been widely investigated in recent years due to its importance in analyzing population data in many clinical applications. To our best knowledge, most o...
Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen