Print Email Facebook Twitter Assumptions & Expectations in Semi-Supervised Machine Learning Title Assumptions & Expectations in Semi-Supervised Machine Learning Author Mey, A. (TU Delft Interactive Intelligence) Contributor Reinders, M.J.T. (promotor) Loog, M. (promotor) Degree granting institution Delft University of Technology Date 2020-01-21 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. Subject Semi-supervised LearningStatistical Learning TheoryClass Probability EstimationMonotonic Learning To reference this document use: https://doi.org/10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e ISBN 978-94-6366-243-7 Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 A. Mey Files PDF Dissertation_with_cover.pdf 3.06 MB Close viewer /islandora/object/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e/datastream/OBJ/view