Hardware Implementations of SVM on FPGA: A State-of-the-Art Review of Current Practice
The Support Vector Machine (SVM) is a common machine learning tool that is widely used because of its high classification accuracy . Implementing SVM for embedded real -time applications is very challenging because of the intensi ve computations required. This in creases the attractiveness of implem...
| Main Authors: | , , |
|---|---|
| Format: | Others |
| Published: |
International Journal of Innovative Science Engineering and Technology (IJISET),
2017-03-07T03:45:48Z.
|
| Subjects: | |
| Online Access: | Get fulltext |