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ESANN
2007
13 years 7 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
IPPS
2003
IEEE
13 years 11 months ago
Applying Aspect-Orient Programming Concepts to a Component-Based Programming Model
Abstract— The execution environments For scientific applications have evolved significantly over the years. Vector and parallel architectures have provided significantly faste...
Thomas Eidson, Jack Dongarra, Victor Eijkhout
CONNECTION
2010
144views more  CONNECTION 2010»
13 years 3 months ago
The roles of the amygdala in the affective regulation of body, brain, and behaviour
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
RAID
1999
Springer
13 years 10 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
INFOCOM
1999
IEEE
13 years 10 months ago
Cell Identification Codes for Tracking Mobile Users
The minimization of the wireless cost of tracking mobile users is a crucial issue in wireless networks. Some of the previous strategies addressing this issue leave an open gap, by ...
Zohar Naor, Hanoch Levy