Evaluation and Selection of Biases in Machine Learning

Evaluation and Selection of Biases in Machine Learning (1995)

by Diana F. Gordon , Marie Des Jardins , G. Dietterich

Venue:	ACM Computing Surveys
Citations:	31 - 0 self

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Datum	Value	Source
TITLE	Evaluation and Selection of Biases in Machine Learning	user correction - Legacy Corrections
AUTHOR NAME	Diana F. Gordon	user correction - Legacy Corrections
AUTHOR NAME	Marie Des Jardins	user correction - Legacy Corrections
AUTHOR NAME	G. Dietterich	user correction - Legacy Corrections
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 sem'ch in bias and meta-bias spaces. Recent research in the field of mac}fine learning bias is stmmarized.	user correction - Legacy Corrections
YEAR	1995	user correction - Legacy Corrections
VENUE	ACM Computing Surveys	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	255--306	INFERENCE
VOLUME	4	INFERENCE
CITATIONS	41 found	ParsCit 1.0