Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Augsburg, Universität Augsburg, Dissertation, 2019

Classification: Informatik

Keyword: Künstliche Intelligenz
Maschinelles Lernen
Evolutionärer Algorithmus
Selbsteinstellendes System

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2019

Creator: Stein, Anthony

Contributor: Hähner, Jörg

URN: urn:nbn:de:bvb:384-opus4-668172

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

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Associated

Stein, Anthony
Hähner, Jörg
Universität Augsburg

Time of origin

2019

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Rule-Based Learning Systems for Support Vector Machines

Parameter-dependent self-learning optimization

Functional networks inference from rule-based machine learning models

Interpretable Fragment‐Based Molecule Design with Self‐Learning Entropic Population Annealing

(Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments

Logistic regression : a self-learning text

Survival analysis : a self-learning text

Logistic regression : a self-learning text

Survival Analysis : A Self-Learning Text

Logistic regression : a self-learning text

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Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems

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Time of origin

Other Objects (12)

Self-learning restriction-based governance of multi-agent systems

Rule-Based Learning Systems for Support Vector Machines

Parameter-dependent self-learning optimization

Functional networks inference from rule-based machine learning models

Interpretable Fragment‐Based Molecule Design with Self‐Learning Entropic Population Annealing

(Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments

Logistic regression : a self-learning text

Survival analysis : a self-learning text

Survival analysis : a self-learning text

Logistic regression : a self-learning text

Survival Analysis : A Self-Learning Text

Logistic regression : a self-learning text

Self-learning restriction-based governance of multi-agent systems

Rule-Based Learning Systems for Support Vector Machines

Parameter-dependent self-learning optimization

Functional networks inference from rule-based machine learning models

Interpretable Fragment‐Based Molecule Design with Self‐Learning Entropic Population Annealing

(Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments

Logistic regression : a self-learning text

Survival analysis : a self-learning text

Survival analysis : a self-learning text

Logistic regression : a self-learning text

Survival Analysis : A Self-Learning Text

Logistic regression : a self-learning text

Self-learning restriction-based governance of multi-agent systems

Rule-Based Learning Systems for Support Vector Machines

Parameter-dependent self-learning optimization

Functional networks inference from rule-based machine learning models

Interpretable Fragment‐Based Molecule Design with Self‐Learning Entropic Population Annealing

(Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments

Logistic regression : a self-learning text

Survival analysis : a self-learning text

Survival analysis : a self-learning text

Logistic regression : a self-learning text

Survival Analysis : A Self-Learning Text

Logistic regression : a self-learning text

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