Scaling Up Support Vector Machines with Application to Plankton Recognition
Learning a predictive model for a large scale real-world problem presents several challenges: the choice of a good feature set and a scalable machine learning algorithm with small generalization error. A support vector machine (SVM), based on statistical learning theory, obtains good generalization...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
Scholar Commons
2005
|
| Subjects: | |
| Online Access: | https://scholarcommons.usf.edu/etd/753 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1752&context=etd |