Mitigating class-boundary label uncertainty to reduce both model bias and variance

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number27
JournalACM Transactions on Knowledge Discovery from Data
Volume15
Issue number2
DOIs
StatePublished - Jan 4 2021

ASJC Scopus Subject Areas

  • General Computer Science

Keywords

  • Bias and variance
  • Label uncertainty
  • Neural networks

Fingerprint

Dive into the research topics of 'Mitigating class-boundary label uncertainty to reduce both model bias and variance'. Together they form a unique fingerprint.

Cite this