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The main goal of the ESPRIT METAL project is to use meta-learning to develop an incrementally adaptable assistant system to provide user-support in machine learning and data mining. Meta data consists of performance outcomes of ML algorithms on known datasets. Using new models of data envelopment analysis to deal with multiple criteria, an ordered ranking(More)
The SB-PRAM is an experimental multiprocessor architecture with a shared address space and synchronously running threads, i.e. giving the illusion to work on a PRAM. A 4-processor prototype has been completed while a 64-processor prototype is under construction. We investigate the detection and handling of single bit errors occuring during transmission of(More)
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