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On Supervised Classification and List Estimation

thesis
posted on 2023-04-12, 13:51 authored by FARZAD SHAHRIVARI
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.

History

Campus location

Australia

Principal supervisor

Nikola Zlatanov

Additional supervisor 1

James Saunderson

Year of Award

2023

Department, School or Centre

Electrical and Computer Systems Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering

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