Question

The kernel trick

a) can be applied to every classification algorithm

b) is commonly used for dimensionality reduction

c) changes ridge regression so we solve a d ?? d linear system instead of an n ?? n system, given n sample points with d features

d) exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points

Answer 1

d) exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points