A comparison of Rule Compaction Algorithms for Michigan Style Learning Classifier Systems
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Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidenceCompares rule compaction algorithms for learning classifier systems. Technical paper; teaches how different algorithms reduce rule set size with differing trade-offs.
A 7-minute video from Association for Computing Machinery (ACM): “A comparison of Rule Compaction Algorithms for Michigan Style Learning Classifier Systems”.
Video by Association for Computing Machinery (ACM), played through YouTube's embedded player.
Part of ACM Transactions on Evolutionary Learning and Optimization (TELO) Video Abstracts