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
- Tree Edit Distance Learning
- Time Series Prediction for Structured Data
- Application to Intelligent Tutoring Systems
- Supervised Transfer Learning
- Application to Bionic Hand Prostheses
- 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
