Feature modeling using polynomial classifiers and stepwise regression
In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as the dimensionality of the feature vectors grows with polynomial expansion, polyn...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | article |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/8831 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|