Transducing Markov Sequences
Summary: Studies Markov-sequence queries via finite-state transducers: computing answer probabilities and top-k/ordered enumeration. Shows sub-exponential-approximate enumeration is intractable (even for fixed transducers), gives a matching heuristic, and isolates tractable regex-like extractor subclasses. (summarized by gpt-5-mini on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,331 | Optimizing and Parallelizing Ranked Enumeration | 2011 | VLDB | 5.5642069e-05 |
| 8,377 | Probabilistic Management of OCR Data using an RDBMS | 2012 | VLDB | 4.5277353e-05 |
| 9,429 | Database Principles in Information Extraction | 2014 | PODS | 4.3399748e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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