Learning and Verifying Quantified Boolean Queries by Example
Summary: Analyzes membership-query complexity for learning and verifying qhorn — conjunctions of quantified Horn expressions — via answer/non-answer questions. Presents optimal polynomial-time and polynomial-question algorithms for two qhorn subclasses under constant-bounded causal density. (summarized by gpt-5-mini on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 492 | Query by Output | 2009 | SIGMOD | 0.00021974699 |
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