AI RESEARCH
A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
arXiv CS.LG
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ArXi:2508.02330v3 Announce Type: replace We propose a novel classification framework grounded in symbolic dynamics and data compression using chaotic maps. The core idea is to model each class by generating symbolic sequences from thresholded real-valued