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ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
AICCSA
2006
IEEE
179views Hardware» more  AICCSA 2006»
15 years 9 months ago
Supporting the SPEM with a UML Extended Workflow Metamodel
The specification, analysis, and administration of business processes have charged great importance in this last time. This has been caused by a competitive industry necessity, dy...
Narayan C. Debnath, Daniel Riesco, Manuel Pé...
125
Voted
BIS
2009
168views Business» more  BIS 2009»
15 years 4 months ago
Defining Adaptation Constraints for Business Process Variants
Abstract. In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typical...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori,...
PADS
1996
ACM
15 years 7 months ago
Queueing Models and Stability of Message Flows in Distributed Simulators of Open Queueing Networks
In this paper we study message flow processes in distributed simulators of open queueing networks. We develop and study queueing models for distributed simulators with maximum loo...
Manish Gupta 0007, Anurag Kumar, Rajeev Shorey
149
Voted
ER
1999
Springer
196views Database» more  ER 1999»
15 years 7 months ago
A Process-Integrated Conceptual Design Environment for Chemical Engineering
Abstract. The process industries (chemicals, food, oil, ...) are characterized by - continuous or batch -- processes of material transformation. The design of such processes, and t...
Matthias Jarke, Thomas List, Klaus Weidenhaupt