Pages that link to "Item:Q389294"
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The following pages link to Effects of unlabeled data on classification error in normal discriminant analysis (Q389294):
Displaying 5 items.
- The use of unlabeled data in predictive modeling (Q449861) (← links)
- A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers (Q936410) (← links)
- 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) (← links)
- Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations (Q2418361) (← links)
- Finite-sample analysis of impacts of unlabeled data and their labeling mechanisms in linear discriminant analysis (Q2965565) (← links)