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EWC
2010
91views more  EWC 2010»
13 years 6 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
FASE
2008
Springer
13 years 9 months ago
Correctness-Preserving Configuration of Business Process Models
Abstract. Reference process models capture recurrent business operations in a given domain such as procurement or logistics. These models are intended to be configured to fit the r...
Wil M. P. van der Aalst, Marlon Dumas, Florian Got...
KBS
2002
88views more  KBS 2002»
13 years 7 months ago
Detecting mismatches among experts' ontologies acquired through knowledge elicitation
: We have constructed a set of ontologies modelled on conceptual structures elicited from several domain experts. Protocols were collected from various experts who advise on the se...
Adil Hameed, Derek H. Sleeman, Alun D. Preece
ML
2008
ACM
13 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
DATE
2007
IEEE
112views Hardware» more  DATE 2007»
14 years 1 months ago
Tool-support for the analysis of hybrid systems and models
This paper introduces a method and tool-support for the automatic analysis and verification of hybrid and embedded control systems, whose continuous dynamics are often modelled u...
Andreas Bauer 0002, Markus Pister, Michael Tautsch...