ML Anthology

Evaluation and Selection of Biases in Machine Learning

Diana F. Gordon, Marie desJardins
MLJ 1995 pp. 5-22
doi:10.1007/BF00993472 /mlj/1995/gordon1995mlj-evaluation/

Abstract

In this introduction, we define the term bias as it is used in machine learning systems. We motivate the importance of automated methods for evaluating and selecting biases using a framework of bias selection as search in bias and meta-bias spaces. Recent research in the field of machine learning bias is summarized.

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Cite

Text

Gordon and desJardins. "Evaluation and Selection of Biases in Machine Learning." Machine Learning, 1995. doi:10.1007/BF00993472

Markdown

[Gordon and desJardins. "Evaluation and Selection of Biases in Machine Learning." Machine Learning, 1995.](https://mlanthology.org/mlj/1995/gordon1995mlj-evaluation/) doi:10.1007/BF00993472

BibTeX

@article{gordon1995mlj-evaluation,
  title     = {{Evaluation and Selection of Biases in Machine Learning}},
  author    = {Gordon, Diana F. and desJardins, Marie},
  journal   = {Machine Learning},
  year      = {1995},
  pages     = {5-22},
  doi       = {10.1007/BF00993472},
  volume    = {20},
  url       = {https://mlanthology.org/mlj/1995/gordon1995mlj-evaluation/}
}