| http://www.w3.org/ns/prov#value | - where the vector w defines the decision surface, x is the input data, y is the classification, ?? is a constant that acts on a switch between the homogeneous (??=0) and the non-homogeneous (??=1) case, b is a free parameter usually called bias and ???sgn??? denotes the ordinary signum function, i.e. sgn(??)=1 for ??>0, sgn(??)=???1 for ??<1 and sgn(0)=0.
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