Accession Number : ADA307061
Title : Minimizing Statistical Bias with Queries.
Descriptive Note : Memorandum rept.,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Cohn, David A.
PDF Url : ADA307061
Report Date : 14 SEP 1995
Pagination or Media Count : 8
Abstract : This report describes an exploration criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. The author describes experiments with locally-weighted regression on two simple kinematics problems, and observed that this "bias-only" approach outperforms the more common "variance-only" exploration approach, even in the presence of noise.
Descriptors : *REDUCTION, *BIAS, *LEARNING, KINEMATICS, ALGORITHMS, STATISTICS, PROBLEM SOLVING, REGRESSION ANALYSIS, WEIGHTING FUNCTIONS, INTERROGATION.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE