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When we make the half-space learning more expressive, the computational complexity of learning may increase.

When we make the half-space learning more expressive, the computational complexity of learning may increase. Correct Answer True

Embedding the input space into some high dimensional feature space makes half-space learning more expressive. But the computational complexity of such learning may increase. So, computing linear separators over very high dimensional data may be computationally expensive.

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