Skip to content
ml-recall

#canonical-form

1 question from Support Vector Machines

Timed test

1 question · 1 min · score and explanations at the end

Take a test
Q 1 / 1Score 0 / 0

Question 1: Single choice

hardAI-checkedSupport Vector Machines

Training data: negatives (−1,0)(-1, 0) and (2,−2)(2, -2), positive (1,0)(1, 0) (labels −1-1 and +1+1). A linear SVM is written as h(x)=w⋅x+bh(\mathbf{x}) = \mathbf{w} \cdot \mathbf{x} + b in canonical form: yi h(xi)≥1y_i\,h(\mathbf{x}_i) \ge 1 for all points, with equality for the support vectors, and ∥w∥\lVert \mathbf{w} \rVert as small as possible. Which (w,b)(\mathbf{w}, b) is the SVM solution?

Choose one option