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» Learning Models of Macrobehavior in Complex Adaptive Systems
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DSD
2010
IEEE
110views Hardware» more  DSD 2010»
13 years 9 months ago
A Predictable Multiprocessor Design Flow for Streaming Applications with Dynamic Behaviour
—The design of new embedded systems is getting more and more complex as more functionality is integrated into these systems. To deal with the design complexity, a predictable des...
Sander Stuijk, Marc Geilen, Twan Basten
CVPR
2009
IEEE
15 years 4 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ECML
2006
Springer
14 years 17 days ago
Efficient Non-linear Control Through Neuroevolution
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
IISWC
2009
IEEE
14 years 3 months ago
Experimental evaluation of N-tier systems: Observation and analysis of multi-bottlenecks
In many areas such as e-commerce, mission-critical N-tier applications have grown increasingly complex. They are characterized by non-stationary workloads (e.g., peak load several...
Simon Malkowski, Markus Hedwig, Calton Pu
AGILEDC
2003
IEEE
14 years 2 months ago
Agile Development in the old economy
As part of the delivery an automated hub for a postal operator, the Solystic company has to build a complex and feature rich Information System that supports a highly automated pr...
Géry Derbier