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AI
2011
Springer
13 years 2 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
BPM
2008
Springer
143views Business» more  BPM 2008»
13 years 9 months ago
Mining Based on Learning from Process Change Logs
In today's dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. ...
Chen Li, Manfred Reichert, Andreas Wombacher
JANCL
2007
95views more  JANCL 2007»
13 years 7 months ago
Dynamic logic of preference upgrade
ABSTRACT. Statements not only update our current knowledge, but also have other dynamic effects. In particular, suggestions or commands ‘upgrade’ our preferences by changing th...
Johan van Benthem, Fenrong Liu
TEC
2010
171views more  TEC 2010»
13 years 2 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
AFRIGRAPH
2004
ACM
14 years 23 days ago
A local model of eye adaptation for high dynamic range images
In the real world, the human eye is confronted with a wide range of luminances from bright sunshine to low night light. Our eyes cope with this vast range of intensities by adapta...
Patrick Ledda, Luís Paulo Santos, Alan Chal...