Soft-margin primal
Definition taught in Support vector machines, part of Statistical learning
Soft-margin primal
| Type | Definition |
| Taught in | Support vector machines |
| Part | Statistical learning |
| Questions using it | 1 |
Find w and b minimising
\Phi(w,\xi)=\frac12 w^\top w+C\sum_{i=1}^{n}\xi_i
subject to y_i(w^\top x_i+b)\ge 1-\xi_i and \xi_i\ge 0 for all i=1,\ldots,n.
Used in
- Taught in Support vector machines, where the derivation and examples are.
- Questions that use it (1) — Interpreting multipliers
- All 10 questions on Support vector machines
See also
Signed distance · Vapnik’s radius–margin bound · Hard-margin primal · Hard-margin dual · Kernel · Linear separators and the margin · Distance to a hyperplane · Why maximise the margin?