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The computational complexity challenge related to learning half-space in high dimensional feature spaces can be solved using the method of kernels.

The computational complexity challenge related to learning half-space in high dimensional feature spaces can be solved using the method of kernels. Correct Answer True

When the data is mapped into a high dimensional feature space, it extends the expressiveness of half-space predictors. And it raises both sample complexity and computational complexity challenges. And it can be solved using the method of kernels.

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