Error-Correcting Codes.pdf

ferng11.pdf
Preview of Error-Correcting Codes
🔗 Source: proceedings.mlr.press
📊 Size: 390 KB
📄 Pages: 15 pages
⬇️ Downloads: 39

Summary

Researchers propose a framework for applying error-correcting codes (ECC) to multi-label classification problems, treating base learners as noisy channels and using ECC to correct prediction errors. They empirically compare various ECC designs, including repetition, Hamming, BCH, and low-density parity-check codes, and find that using stronger ECC can improve the popular random k-label-sets (RAKEL) algorithm and the traditional Binary Relevance approach. The study also explores the trade-off between ECC strength and base learning task hardness.

Description

Researchers propose a framework for applying error-correcting codes (ECC) to multi-label classification problems, treating base learners as noisy channels and...

Technical Information

  • File Format: PDF
  • File Size: 390 KB
  • Pages: 15
  • Language: EN
  • Total Downloads: 39
  • Last Updated: 3 days ago

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