Machine Learning Methods for Fuzzy Pattern Tree Induction

Machine Learning Methods for Fuzzy Pattern Tree Induction

This thesis elaborates on a novel approach to fuzzy machine learning, that is, the combination of machine learning methods with mathematical tools for modeling and information processing based on fuzzy logic. More specifically, the thesis is devoted to so-called fuzzy pattern trees, a model class th...

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Bibliographic Details
Main Author: Senge, Robin
Contributors: Hüllermeier, Eyke (Prof. Dr.) (Thesis advisor)
Format: Doctoral Thesis
Language:English
Published: Philipps-Universität Marburg 2014
Subjects:
Fuzzy-Set
Informatik
Überwachtes Lernen
Fuzzy Pattern Tree
Fuzzy-Logic
Machine Learning
Supervised Learning
Fuzzy-Menge
Induktion
Maschinelles Lernen
Fuzzy-Logik
Induction
Data processing Computer science
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Call Number: urn:nbn:de:hebis:04-z2014-03918
Downloads: 65 (2022), 260 (2021), 234 (2020), 201 (2019), 89 (2018)
Publication Date: 2014-09-25
Date of Acceptance: 2014-06-20
License: According to UrhG § 31 (2), the author has granted the University Library Marburg the right of use for electronic publication on the Internet and for archiving on its archive server. He has declared that with the granting of the right of use according to UrhG § 31 (3) no exclusive rights of third parties are violated. All other rights for the exploitation of the publication remain with the author. https://rightsstatements.org/vocab/InC-NC/1.0/
Access URL: https://archiv.ub.uni-marburg.de/diss/z2014/0391
https://doi.org/10.17192/z2014.0391

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