EVALUATION AND SELECTION OF BIASES IN MACHINE LEARNING

Citation
Df. Gordon et M. Desjardins, EVALUATION AND SELECTION OF BIASES IN MACHINE LEARNING, Machine learning, 20(1-2), 1995, pp. 5-22
Citations number
41
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence",Neurosciences
Journal title
ISSN journal
08856125
Volume
20
Issue
1-2
Year of publication
1995
Pages
5 - 22
Database
ISI
SICI code
0885-6125(1995)20:1-2<5:EASOBI>2.0.ZU;2-C
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 a s search in bias and meta-bias spaces. Recent research in the field of machine learning bias is summarized.