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ESANN
2007
15 years 25 days 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
APLAS
2005
ACM
15 years 5 months ago
Integrating Physical Systems in the Static Analysis of Embedded Control Software
Interpretation interpretation is a theory of effective abstraction and/or approximation of discrete mathematical structures as found in the semantics of programming languages, mod...
Patrick Cousot
CF
2004
ACM
15 years 4 months ago
An architectural framework and a middleware for cooperating smart components
In a future networked physical world, a myriad of smart sensors and actuators assess and control aspects of their environments and autonomously act in response to it. Examples ran...
Antonio Casimiro, Jörg Kaiser, Paulo Ver&iacu...
DSD
2009
IEEE
118views Hardware» more  DSD 2009»
15 years 2 months ago
On the Risk of Fault Coupling over the Chip Substrate
—Duplication and comparison has proven to be an efficient method for error detection. Based on this generic principle dual core processor architectures with output comparison ar...
Peter Tummeltshammer, Andreas Steininger
JWSR
2007
99views more  JWSR 2007»
14 years 11 months ago
A Metamorphic Testing Approach for Online Testing of Service-Oriented Software Applications
: Testing the correctness of services assures the functional quality of service-oriented application. A service-oriented application may bind dynamically to its supportive services...
W. Chan, S. Cheung, K. Leung