- Thesis:
- Master in Mathematics
- Author:
- Teresa Byczkowski
- Title:
- Change of dimension in machine learning algorithms
- Supervisors:
- Stefan Richter (Universität Heidelberg)
- Jan JOHANNES
- Abstract:
- In this thesis, we study supervised classification in machine learning, focusing on the challenges that arise from high-dimensional data. Specifically, we explore Support Vector Machines and random-projection ensemble classifiers as potential solutions. Through theoretical analyses and empirical studies, we investigate the value of these algorithms in both improving computational efficiency and model performance, providing insights into their application in real-world classification tasks.
- Reference:
- G. Blanchard, O. Bousquet und P. Massart Statistical Performance of Support Vector Machines, The Annals of Statistics, 36(2):489–531, 2008.
- T.I. Cannings und R.J. Samworth. Random-projection ensemble classification, Journal of the Royal Statistical Society. Series B (Statistical Methodology), 79(4):959–1035, 2017.
| Statistics Group | Institute for Mathematics | Faculty of Mathematics and Computer Science | University Heidelberg |