| http://www.w3.org/ns/prov#value | - space is solved by linear regression in high-dimensional feature space.The SVR technique considers the following linear estimation function: where denotes the weight vector, b is a constant known as bias, is the mapping function, and is the dot product in feature space, such that [12].
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