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» Realizability models and implicit complexity
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ICCAD
2006
IEEE
124views Hardware» more  ICCAD 2006»
14 years 4 months ago
Robust system level design with analog platforms
An approach to robust system level mixed signal design is presented based on analog platforms. The bottom-up characterization phase of platform components provides accurate perfor...
Fernando De Bernardinis, Pierluigi Nuzzo, Alberto ...
SEKE
2010
Springer
13 years 5 months ago
Ontology-Based Test Case Generation For Simulating Complex Production Automation Systems
—The behavior of complex production automation systems is hard to predict, therefore simulation is used to study the likely system behavior. However, in a real-world system many ...
Thomas Moser, Gregor Dürr, Stefan Biffl
EDCC
2008
Springer
13 years 9 months ago
Software Faults Diagnosis in Complex OTS Based Safety Critical Systems
This work addresses the problem of software fault diagnosis in complex safety critical software systems. The transient manifestations of software faults represent a challenging is...
Gabriella Carrozza, Domenico Cotroneo, Stefano Rus...
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 7 months ago
Can complex network metrics predict the behavior of NBA teams?
The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
COLT
2008
Springer
13 years 9 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál