svm-weight-vector-linear-combination-support-vectors

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

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

The SVM weight vector w = sum(c_i * y_i * x_i) is a linear combination of support vectors only; most dual coefficients c_i are zero.

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.