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Many learning algorithms for half-spaces can be carried out just on the basis of the values of the kernel function over pairs of domain points.

Many learning algorithms for half-spaces can be carried out just on the basis of the values of the kernel function over pairs of domain points. Correct Answer True

Many learning algorithms for half-spaces can be carried out just on the basis of the values of the kernel function over pairs of domain points. One of the main advantages of such algorithms is that they implement linear separators in high dimensional feature spaces without having to specify points in that space or expressing the embedding explicitly.

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