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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: 13.

German

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

English

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

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

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

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

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

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

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

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

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

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

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

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

This list was generated on Thu Oct 17 20:50:27 2019 CEST.