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Items where Division is "20 Department of Computer Science > Knowl­edge En­gi­neer­ing" and Year is [pin missing: value2]

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Number of items at this level: 14.

Article

Czech, Johannes and Willig, Moritz and Beyer, Alena and Kersting, Kristian and Fürnkranz, Johannes (2020):
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
In: Frontiers in Artificial Intelligence, 3, Frontiers, ISSN 2624-8212,
DOI: 10.25534/tuprints-00013370,
[Online-Edition: https://doi.org/10.3389/frai.2020.00024],
Secondary publishing via sponsored Golden Open Access, [Article]

Ph.D. Thesis

Güttinger, Dennis (2013):
A New Metaheuristic Approach for Stabilizing the Solution Quality of Simulated Annealing and Applications.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Janssen, Frederik (2012):
Heuristic Rule Learning.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Kauschke, Sebastian (2019):
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Loza Mencía, Eneldo (2013):
Efficient Pairwise Multilabel Classification.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Nam, Jinseok (2019):
Learning Label Structures with Neural Networks for Multi-label Classification.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Park, Sang-Hyeun (2012):
Efficient Decomposition-Based Multiclass and Multilabel Classification.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Schulz, Axel (2014):
Mining User-Generated Content for Incidents.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Sulzmann, Jan-Nikolas (2019):
Rule Learning: From Local Patterns to Global Models.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Tavakol, Maryam (2019):
Contextual Models for Sequential Recommendation.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Wirth, Christian (2017):
Efficient Preference-based Reinforcement Learning.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Zopf, Markus (2019):
Towards Context-free Information Importance Estimation.
Darmstadt, Technische Universität, [Ph.D. Thesis]

Bachelor Thesis

Jäger, Jonas (2019):
Self-Imitation Regularization: Regularizing Neural Networks by Leveraging Their Dark Knowledge.
Darmstadt, Technische Universität, [Bachelor Thesis]

Thoma, Nils (2018):
Learning to Detect Personal Information in German Text Documents.
Darmstadt, Technische Universität, [Bachelor Thesis]

This list was generated on Sat Oct 24 04:05:38 2020 CEST.