New compound kernel function revolutionizes machine learning classification accuracy.
A new compound kernel function for Support Vector Machines (SVM) has been developed to improve classification and approximation abilities. By combining different types of kernel functions, this new function reduces the number of parameters needed while maintaining strong learning and generalizing abilities. Through simulations, it has been shown that this new kernel function is effective in practical applications.