Ranking Using Linear SVM Feature
2016-08-23
1 0 0
no vote
Other
Earn points
Feature ranking is useful to gain knowledge of the data and identify relevant features. This article explores performance of combining linear support vector machines with various feature ranking methods, and reports the experiments conducted when participating the causality Challenge.
Related Source Codes
Android AOA Android Open Accessory Development Usi
0
0
no vote
Golang AOA Android Open Accessory HID Control
0
0
no vote
PClite
0
0
no vote
GMSK Linear Receiver
0
0
no vote
The golden version of AFT that has been passed dow
0
0
no vote
No comment