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ESANN
2007
13 years 9 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
LISA
2003
13 years 9 months ago
Using Service Grammar to Diagnose BGP Configuration Errors
Often network components work correctly, yet end-to-end services don’t. This happens if configuration parameters of components are set to incorrect values. Configuration is a fu...
Xiaohu Qie, Sanjai Narain
KI
2009
Springer
14 years 2 months ago
Constraint-Based Integration of Plan Tracking and Prognosis for Autonomous Production
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Paul Maier, Martin Sachenbacher, Thomas Rühr,...
LISA
2007
13 years 10 months ago
PDA: A Tool for Automated Problem Determination
Problem determination remains one of the most expensive and time-consuming functions in system management due to the difficulty in automating what is essentially a highly experien...
Hai Huang, Raymond B. Jennings III, Yaoping Ruan, ...
KBS
2002
136views more  KBS 2002»
13 years 7 months ago
Diagnostic reasoning based on means-end models: experiences and future prospects
Multilevel Flow Models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several n...
Jan Eric Larsson