ML Anthology

Algorithms for Subsetting Attribute Values with Relief

Janez Demsar
MLJ 2010 pp. 421-428
doi:10.1007/S10994-009-5164-0 /mlj/2010/demsar2010mlj-algorithms/

Abstract

Relief is a measure of attribute quality which is often used for feature subset selection. Its use in induction of classification trees and rules, discretization, and other methods has however been hindered by its inability to suggest subsets of values of discrete attributes and thresholds for splitting continuous attributes into intervals. We present efficient algorithms for both tasks.

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Text

Demsar. "Algorithms for Subsetting Attribute Values with Relief." Machine Learning, 2010. doi:10.1007/S10994-009-5164-0

Markdown

[Demsar. "Algorithms for Subsetting Attribute Values with Relief." Machine Learning, 2010.](https://mlanthology.org/mlj/2010/demsar2010mlj-algorithms/) doi:10.1007/S10994-009-5164-0

BibTeX

@article{demsar2010mlj-algorithms,
  title     = {{Algorithms for Subsetting Attribute Values with Relief}},
  author    = {Demsar, Janez},
  journal   = {Machine Learning},
  year      = {2010},
  pages     = {421-428},
  doi       = {10.1007/S10994-009-5164-0},
  volume    = {78},
  url       = {https://mlanthology.org/mlj/2010/demsar2010mlj-algorithms/}
}