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Learning Classifier Tables for Autonomic Systems on Chip

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2008

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Gesellschaft für Informatik e. V.

Zusammenfassung

This paper introduces a new hardware-based machine learning building block – called Learning Classifier Table (LCT) – for the run-time reliability, performance and power optimization of future generations of Systems-on-Chip. LCT inherits concepts from the reinforcement learning techniques found in Learning Classifier Systems. Prediction weighted LCT rule evaluation is implemented on a clock cycle scale with low hardware complexity.

Beschreibung

Zeppenfeld, J.; Bouajila, A.; Stechele, W.; Herkersdorf, A. (2008): Learning Classifier Tables for Autonomic Systems on Chip. INFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2. Bonn: Gesellschaft für Informatik e. V.. PISSN: 1617-5468. ISBN: 978-3-88579-228-4. pp. 771-778. Regular Research Papers. München. 8.-13. September 2008

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