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ASC
2004
15 years 2 months ago
Soft computing applications in dynamic model identification of polymer extrusion process
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...
TR
2010
126views Hardware» more  TR 2010»
14 years 9 months ago
Approximating a Loading-Dependent Cascading Failure Model With a Branching Process
Abstract--We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successiv...
Janghoon Kim, Ian Dobson
ICML
2007
IEEE
16 years 3 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
IEEEICCI
2009
IEEE
15 years 9 months ago
Reducing the cognitive complexity of business process models
Current research on the quality of business process models mostly discusses the quality of a model mainly in terms of correctness of its behaviour. In this paper, we discuss anoth...
Volker Gruhn, Ralf Laue
GI
2003
Springer
15 years 7 months ago
Business Process Reference Model Languages: Experiences from BPI Projects
: Natural Language is not appropriate for reference models because it risks being an in-complete, unstructured and inconsistent form of representation. This paper presents insights...
Chris I. Taylor, Christian Probst