Zeppenfeld, J.Bouajila, A.Stechele, W.Herkersdorf, A.Hegering, Heinz-GerdLehmann, AxelOhlbach, Hans JürgenScheideler, Christian2019-04-032019-04-032008978-3-88579-228-4https://dl.gi.de/handle/20.500.12116/21283This 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.enLearning Classifier Tables for Autonomic Systems on ChipText/Conference Paper1617-5468