| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Scornet (UPMC), E. | |
| dc.contributor.advisor | Spitoni (UU), C. | |
| dc.contributor.author | Parie, J.F. | |
| dc.date.accessioned | 2018-10-04T17:02:04Z | |
| dc.date.available | 2018-10-04T17:02:04Z | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/34922 | |
| dc.description.abstract | A major goal of learning is prediction. In this report we discuss the performance of kernelised ridge regression and support vector regression to model empirical data by supervised learning. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 1015242 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Statistical Learning: Methods for Regression | |
| dc.type.content | Bachelor Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | statistics, regression, machine learning, supervised learning | |
| dc.subject.courseuu | Mathematical Sciences | |
