On Supervised Classification and List Estimation
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The main focus of this dissertation is to propose asymptotically optimal classifiers for the classification of feature vectors with independent and non-identically distributed elements. The proposed classifiers outperform the benchmark schemes when the number of training data is small, and the length of the feature vectors is sufficiently high.
创建时间：
2023-04-12
