svm-bias-recovery-from-support-vector

IN premise — entries/2026/06/21/wiki-Support_vector_machine-chunk-3.md

Created 2026-06-21T09:55:54+00:00

The SVM bias term b is recovered from any support vector on the margin boundary using b = w^T x_i - y_i, exploiting that y_i^(-1) = y_i for labels in {-1, +1}.

Dependents

These beliefs depend on this one:

• IN svm-model-fully-determined-by-support-vectors — The entire SVM model — decision boundary, weight vector, and bias — is fully determined by the support vectors alone; all other training points are irrelevant to the learned classifier.