Linear classifiers
نویسنده
چکیده
Above, w ∈ Rd is a vector of real-valued weights, which we call a weight vector, and θ ∈ R is a threshold value. The weight vector (assuming it is non-zero) is perpendicular to a hyperplane of dimension that passes through the point wθ/‖w‖2; this hyperplane separates the points x ∈ Rd that are classified as +1 from those that are classified as −1 by fw,θ. Homogeneous half-space functions are half-space functions with threshold θ = 0 (so their corresponding separating hyperplane passes through the origin). We’ll use the notation fw := fw,0 for such functions.
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