Examveda

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: Option D


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