articleArtificial Intelligence ReviewNov 1, 2004Closed access

Class Noise vs. Attribute Noise: A Quantitative Study

XZXingquan ZhuXWXindong Wu

University of Vermont

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

896
total citations
FWCI
13.42
Percentile
100%
References
59
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Computer science
  • Noise (video)
  • Classifier (UML)
  • Preprocessor
  • Noise measurement
  • Artificial intelligence
  • Class (philosophy)
  • Gradient noise
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
No related works found for this paper.

Funding