Learn what distinguishes support vector machine and neural network classification in ML statistical modeling and see some examples of how they work.

This paper presents an FPGA implementation of a Support Vector Machine (SVM) classification using the DSP slices and block RAMs in the Xilinx Virtex-6 family FPGA. In our approach, the SVM ...

Implemented a grid search with cross-validation to optimize the SVM model's hyperparameters, including the regularization parameter ( C ) and kernel type. Performance Evaluation: Evaluated model ...

This paper presents an FPGA implementation of a Support Vector Machine (SVM) classification using the DSP slices and block RAMs in the Xilinx Virtex-6 family FPGA. In our approach, the SVM ...