A Note on Applications of Support Vector Machine
Optimization and Control
2025-10-20 v2 Numerical Analysis
Numerical Analysis
q-bio
Abstract
We describe in a rudimentary fashion how SVM(support vector machine) plays the role of classifier in a mathematical setting. We then discuss its application in the study of multiple SNP(single nucleotide polymorphism) variations. Also presented is a set of preliminary test results with clinical data.
Cite
@article{arxiv.math/0106166,
title = {A Note on Applications of Support Vector Machine},
author = {Seung-chan Ahn and Gene Kim and MyungHo Kim},
journal= {arXiv preprint arXiv:math/0106166},
year = {2025}
}
Comments
Presentations accepted to DIMACS workshop and International Conference on Mathematical and Theoretical Biology And Annual Meeting of the Society for Mathematical Biology Joint with Japanese Association for Mathematical Biology