DocumentCode :
1493235
Title :
Small sample size effects in statistical pattern recognition: recommendations for practitioners
Author :
Raudys, Sarunas J. ; Jain, Anil K.
Author_Institution :
Inst. of Math. & Cybern., Acad. of Sci., Vilnius, Lithuanian SSR, USSR
Volume :
13
Issue :
3
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
252
Lastpage :
264
Abstract :
The effects of sample size on feature selection and error estimation for several types of classifiers are discussed. The focus is on the two-class problem. Classifier design in the context of small design sample size is explored. The estimation of error rates under small test sample size is given. Sample size effects in feature selection are discussed. Recommendations for the choice of learning and test sample sizes are given. In addition to surveying prior work in this area, an emphasis is placed on giving practical advice to designers and users of statistical pattern recognition systems
Keywords :
pattern recognition; statistical analysis; classifiers; error estimation; error rates; feature selection; learning; sample size effects; statistical pattern recognition; Algorithm design and analysis; Classification algorithms; Cybernetics; Error analysis; Estimation error; Mathematics; Pattern analysis; Pattern recognition; Performance analysis; System testing;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.75512
Filename :
75512
Link To Document :
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