Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5
A linear kernel is the simplest kernel function.
Given a set X of n feature vectors x1= (x11,…,x1p), ..., xn= (xn1,…,xnp) of dimension p and a set Y of m feature vectors y1= (y11,…,y1p), ..., ym= (ym1,…,ymp), the problem is to compute the linear kernel function K (xi, yj) for any pair of input vectors: K (xi, yj) = k xi Tyj + b.