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» On Business Process Model Transformations
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SUM
2009
Springer
16 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
BMCV
2000
Springer
15 years 11 months ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
WSC
2007
15 years 8 months ago
Monte Carlo methods in the physical sciences
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
Malvin H. Kalos
ECMDAFA
2009
Springer
170views Hardware» more  ECMDAFA 2009»
16 years 1 months ago
A Model Driven Approach to the Analysis of Timeliness Properties
The need for a design language that is rigorous but accessible and intuitive is often at odds with the formal and mathematical nature of languages used for analysis. UML and Petri ...
Mohamed Ariff Ameedeen, Behzad Bordbar, Rachid Ana...
IADT
1998
146views more  IADT 1998»
15 years 7 months ago
An Open Architecture for Adaptive Workflow Management Systems
One of the main tasks of workflow management systems is the coordination of activities in business processes. This paper introduces a solution framework to support adaptive workfl...
Reiner Siebert