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Paaßen, Benjamin: Metric Learning for Structured Data. 2019
Inhalt
Contents
Introduction
Background and Related Work
Kernels and Distances
Kernels for Structured Data
Edit Distances
Metric Learning for Edit Distances
Learning Vector Quantization
Distance-based Time Series Prediction
Sequence Edit Distance Learning
Method
Experiments
Conclusion and Limitations
Tree Edit Distance Learning
Method
Experiments
Conclusion
Time Series Prediction for Structured Data
Background and Related Work
Method
Experiments
Discussion and Conclusion
Application to Intelligent Tutoring Systems
An integrated view of edit-based hint policies
Method
Experiments
Conclusion
Supervised Transfer Learning
Related Work
Method
Experiments
Conclusion
Application to Bionic Hand Prostheses
Experiments
Conclusion
Conclusions and Outlook
Publications in the Context of this Thesis
References
Glossary
Acronyms
Proofs
Proof of Theorem 2.1
Proof of Theorem 2.2
Proof of Theorem 2.3
Proof of Theorem 2.4
Proof of Theorem 2.5
Proof of Theorem 2.7
Proof of Theorem 2.8
Proof of Theorem 3.1
Proof of Theorem 3.2
Proof of Theorem 3.3
Proof of Theorem 3.4
Proof of Theorem 3.5
Proof of Theorem 4.2
Proof of Theorem 4.3
Proof of Theorem 5.1
Proof of Theorem 6.2
Kernelized Othogonal Matching Pursuit
Proof of Theorem 7.1