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New research explores quality control for sequence pattern counting

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces and studies quality control problems over sequences, focusing on distinguishing truly random sequences from those with an unusual frequency of specific patterns. The work extends previous research on quality control for graphs to sequences of characters and real-valued sequences. The paper presents algorithms that can solve these pattern counting problems efficiently, running in polynomial time with respect to the pattern length, by leveraging the asymmetric nature of quality control definitions. AI

RANK_REASON Academic paper on a theoretical computer science topic. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research explores quality control for sequence pattern counting

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Academic paper on a theoretical computer science topic. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Cassandra Marcussen, Ronitt Rubinfeld, Madhu Sudan ·

    Quality Control Algorithms for Pattern Counting

    arXiv:2608.03439v1 Announce Type: cross Abstract: In recent work, Marcussen, Rubinfeld, and Sudan introduced the notion of quality control problems, which aim to capture the task of determining if a given input is truly random. Formally, their goal is to accept typical inputs fro…

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