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Q. |
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» D. exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points |
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