LEAPMR System.pdf

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Preview of LEAPMR System
🔗 Source: ceur-ws.org
📊 Size: 180 KB
📄 Pages: 6 pages
⬇️ Downloads: 71

Summary

The authors propose LEAPMR, a system for learning probabilistic ontologies with distributed parameter learning, which adapts the LEAP algorithm to use EDGEMR, a distributed implementation of the EDGE algorithm. EDGE learns parameters of probabilistic DLs under DISPONTE, while EDGEMR uses a MapReduce approach to reduce computational cost. LEAPMR combines CELOE for structure learning and EDGEMR for parameter learning, allowing for distributed structure learning of probabilistic DLs.

Description

The authors propose LEAPMR, a system for learning probabilistic ontologies with distributed parameter learning, which adapts the LEAP algorithm to use EDGEMR,...

Technical Information

  • File Format: PDF
  • File Size: 180 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 71
  • Last Updated: 7 hours ago

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This PDF document about LEAPMR System provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into LEAPMR System.

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