svm-decision-boundary-depends-only-on-support-vectors

IN premise — entries/2026/06/21/wiki-Support_vector_machine-chunk-1.md

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

The SVM decision boundary depends only on the support vectors (points closest to the boundary), not on all training points, making SVMs memory-efficient at prediction time.

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.