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» Using model knowledge for learning inverse dynamics
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PROMISE
2010
13 years 3 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
KESAMSTA
2010
Springer
14 years 1 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
AAMAS
2002
Springer
13 years 8 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
IPMI
2009
Springer
14 years 1 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
ICWS
2007
IEEE
13 years 10 months ago
A Semantic Web Services-based Infrastructure for Context-Adaptive Process Support
Current technologies aimed at supporting processes – whether it is a business or learning process – primarily follow a metadata- and data-centric paradigm. Whereas process met...
Stefan Dietze, Alessio Gugliotta, John Domingue