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» Methods to Learn Abstract Scheduling Models
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ECML
2007
Springer
13 years 11 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
STTT
2008
103views more  STTT 2008»
13 years 7 months ago
Model-based development of a course of action scheduling tool
Abstract. This paper shows how a formal method in the form of Coloured Petri Nets (CPNs) and the supporting CPN Tools have been used in the development of the Course of Action Sche...
Lars Michael Kristensen, Peter Mechlenborg, Lin Zh...
CCGRID
2008
IEEE
14 years 2 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
ICANN
2003
Springer
14 years 21 days ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
DATE
2009
IEEE
139views Hardware» more  DATE 2009»
14 years 2 months ago
Reliable mode changes in real-time systems with fixed priority or EDF scheduling
Abstract—Many application domains require adaptive realtime embedded systems that can change their functionality over time. In such systems it is not only necessary to guarantee ...
Nikolay Stoimenov, Simon Perathoner, Lothar Thiele