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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Dettagli Bibliografici
Autore principale: Senge, Robin
Altri autori: Hüllermeier, Eyke (Prof. Dr.) (Relatore della tesi)
Natura: Dissertation
Lingua:inglese
Pubblicazione: Philipps-Universität Marburg 2014
Soggetti:
Fuzzy-Menge
Induktion
Fuzzy-Set
Fuzzy Pattern Tree
Maschinelles Lernen
Supervised Learning
Machine Learning
Fuzzy-Logik
Fuzzy-Logic
Überwachtes Lernen
Informatik
Induction
Data processing Computer science
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