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New algorithms for stringological sequence prediction unveiled

This paper introduces new algorithms for sequence prediction based on stringological word complexity measures. It details a statistically and computationally efficient method for right-to-left automaticity, contrasting it with previous left-to-right approaches. Additionally, the research presents a prediction algorithm for a more expressive measure called arithmetic repetition complexity, which can be applied to predicting mix-automatic sequences. AI

RANK_REASON The cluster contains an academic paper detailing new algorithms and theoretical concepts in sequence prediction. [lever_c_demoted from research: ic=1 ai=1.0]

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New algorithms for stringological sequence prediction unveiled

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Vanessa Kosoy ·

    Stringological sequence prediction II: Right-to-left automaticity and related complexity measures

    arXiv:2607.17369v1 Announce Type: cross Abstract: In a previous paper, we began the study of sequence prediction algorithms adapted to stringological word complexity measures. One measure we considered was left-to-right (most-significant-digit-first) automaticity. Here, we show a…