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Modelling the Outlier Detection Problem in QASP

Talkat PADL 2022 · 2022-01-17..01-18· [machine-learning]
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The paper models outlier detection as a second-level PH problem using Quantified Answer Set Programming, encoding the two witness conditions as an exists/for-all pair of ASP programs. It implements a solver via rewriting to QPF and executes encodings like ordinary ASP, then benchmarks on synthetic network data and reports scalability gains of about three orders of magnitude over the 2007 Angiulli et al. ASP saturation encoding. The implementation is available and the QASP encoding runs markedly faster and is much more compact.

AI-written summary · about

  1. 0:00Introduction
  2. 0:42Presentation
  3. 3:42Modeling Beyond NP
  4. 9:34Outlier Definition
  5. 10:15Example
  6. 13:15Encoding
  7. 16:08Results
  8. 16:57Conclusion
  9. 17:50Questions
  10. 19:35Applications
  11. 21:45Further Questions
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