Generating an SVM Kernel function using genetic algorithm
SVMs' performance is affected greatly by the choice of kernel function and kernel parameters. This study made use of a complete binary tree of depth 3 and the Genetic Algorithm to automate the non-trivial task of finding a kernel function that best classi
Saved in:
Main Author: | |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2012
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/theses-dissertations/192 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Summary: | SVMs' performance is affected greatly by the choice of kernel function and kernel parameters. This study made use of a complete binary tree of depth 3 and the Genetic Algorithm to automate the non-trivial task of finding a kernel function that best classi |
---|