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ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 5 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
KCAP
2005
ACM
16 years 12 days ago
An ontological approach to the construction of problem-solving models
Our ongoing work aims at defining an ontology-centered approach for building expertise models for the CommonKADS methodology. This approach (which is named "OntoKADS") i...
Sabine Bruaux, Gilles Kassel, Gilles Morel
CAISE
2006
Springer
15 years 10 months ago
Model-Driven Enterprise Systems Configuration
Enterprise Systems potentially lead to significant efficiency gains but require a well-conducted configuration process. A promising idea to manage and simplify the configuration pr...
Jan Recker, Jan Mendling, Wil M. P. van der Aalst,...
236
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CGF
2010
161views more  CGF 2010»
15 years 7 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
JUCS
2008
115views more  JUCS 2008»
15 years 6 months ago
Capturing Interaction Requirements in a Model Transformation Technology Based on MDA
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...
José Ignacio Panach, Sergio España, ...