can be applied to every classification algorithm

is commonly used for dimensionality reduction

changes ridge regression so we solve a d ?? dlinear system instead of an n ?? n system, given nsample points with d features

exploits the fact that in many learning algorithms, the weights can be written as a linearcombination of input points

The kernel trick – McqOptions

1.	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 ?? dlinear system instead of an n ?? n system, given nsample points with d features
D.	exploits the fact that in many learning algorithms, the weights can be written as a linearcombination of input points
Answer» E.

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