An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified (Q2209737)
From MaRDI portal
scientific article
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified |
scientific article |
Statements
An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified (English)
0 references
4 November 2020
0 references
normal discrimination
0 references
semi-supervised learning
0 references
model for missing-class labels
0 references
relative efficiency of classifiers
0 references
0 references
0 references
