Assumptions & Expectations in Semi-Supervised Machine Learning
Doctoral Thesis
(2020)
Author(s)
A. Mey (TU Delft - Interactive Intelligence)
Research Group
Interactive Intelligence
Copyright
© 2020 A. Mey
To reference this document use:
https://doi.org/10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e
More Info
expand_more
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 A. Mey
Research Group
Interactive Intelligence
ISBN (print)
978-94-6366-243-7
Reuse Rights
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
The goal of this thesis is to investigate theoretical results in the field of semi-supervised learning, while also linking them to problems in related subjects as class probability estimation.