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ESANN
2007
15 years 3 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
CODES
2006
IEEE
15 years 7 months ago
Battery discharge aware energy feasibility analysis
It is observed that pulsed discharge currents allow to drain the battery with a higher specific power. Thus they improve the batteries durability and discharge performance. The q...
Henrik Lipskoch, Karsten Albers, Frank Slomka
ATAL
2009
Springer
15 years 8 months ago
Graph-based methods for the analysis of large-scale multiagent systems
Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and sca...
Wilbur Peng, William Krueger, Alexander Grushin, P...
138
Voted
DAC
2008
ACM
16 years 2 months ago
Specify-explore-refine (SER): from specification to implementation
Driven by increasing complexity and reliability demands, the Japanese Aerospace Exploration Agency (JAXA) in 2004 commissioned development of ELEGANT, a complete SpecC-based envir...
Andreas Gerstlauer, Junyu Peng, Dongwan Shin, Dani...
ISCOPE
1999
Springer
15 years 6 months ago
Using Object-Oriented Techniques for Realizing Parallel Architectural Skeletons
The concept of design patterns has recently emerged as a new paradigm in the context of object-oriented design methodology. Similar ideas are being explored in other areas of compu...
Dhrubajyoti Goswami, Ajit Singh, Bruno R. Preiss