SUPPORT VECTOR CLASSIFIERS: THE MATHEMATICS OF A WIDE MARGIN
A support vector classifier (SVC) learns a boundary that balances separation between classes against violations of a safety margin. THE DECISION RULE For labels y_i ∈ {−1, +1}: f(x) = wᵀφ(x) + b ŷ = sign(f(x)) φ(x) maps inputs into a feature space. The decision hyperplane is f(x) = 0; the canonical…
Read the full story at r/learnmachinelearning ↗
Timeline · 1 report
- 2026-10-14 15:16 · r/learnmachinelearning
SUPPORT VECTOR CLASSIFIERS: THE MATHEMATICS OF A WIDE MARGIN