Assumptions & Expectations in Semi-Supervised Machine Learning

Alex Mey

doi:10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e

Assumptions & Expectations in Semi-Supervised Machine Learning

Alex Mey

Interactive Intelligence

Research output: Thesis › Dissertation (TU Delft)

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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.

Original language	English
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Reinders, M.J.T., Supervisor Loog, M., Supervisor
Award date	21 Jan 2020
Print ISBNs	978-94-6366-243-7
DOIs	https://doi.org/10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e
Publication status	Published - 2020

Keywords

Semi-supervised Learning
Statistical Learning Theory
Class Probability Estimation
Monotonic Learning

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title = "Assumptions & Expectations in Semi-Supervised Machine Learning",

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.",

keywords = "Semi-supervised Learning, Statistical Learning Theory, Class Probability Estimation, Monotonic Learning",

author = "Alex Mey",

year = "2020",

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language = "English",

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type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

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N2 - 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.

AB - 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.

KW - Semi-supervised Learning

KW - Statistical Learning Theory

KW - Class Probability Estimation

KW - Monotonic Learning

U2 - 10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e

DO - 10.4233/uuid:a9388324-0067-4ab1-86fc-c5d21c882f1e

M3 - Dissertation (TU Delft)

SN - 978-94-6366-243-7

ER -

Assumptions & Expectations in Semi-Supervised Machine Learning

Abstract

Keywords

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