On the expected probability of correct classification

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Title

On the expected probability of correct classification (EN)

Creator

Kokolakis, GE (EN)

Type

journalArticle (EN)

Partial document
Publication in journal (EN)

Article
Scientific article (EN)

Issued

2014-03-01T01:05:57Z

1981 (EN)

Year

1981 (EN)

Description

SUMMARY: The Bayesian approach is applied to examine how the number of features used in a classification problem affects the performance. Exact and asymptotic results are derived for two particular classification problems, demonstrating the positive effect of increasing the number of features. © 1981 Biometrika Trust. (EN)

Scientific field

Statistics & Probability (EN)

Biology (EN)

Mathematical & Computational Biology (EN)

Natural Sciences ▶ Mathematics
Statistics and Probability (EN)

Natural Sciences ▶ Biological sciences
Mathematical and Computational Biology (EN)

Journal

Biometrika (EN)

Language

English

Publisher

BIOMETRIKA TRUST (EN)