How to Teach Support Vector Machine to Learn Vector Outputs

Published on Feb 4, 20256522 Views

Open House 2006 - London

How to teach Support Vector Machine00:02

The “Classical” Support Vector Machine(SVM)01:04

Reinterpretation of the normal vector w01:08

Affine transformation = Linear transformation01:59

Primal problem02:02

Dual problem04:14

Solution06:19

Prediction07:16

Prediction when the labels are implicit07:28

Representation of multiclass output08:03

Vertices of hyper-tetrahedron08:15

Embedding Hierarchy08:56

Methods09:45

WIPO-alpha dataset10:22

Computational times11:05

Multiview learning12:20

One-class SVM interpretation15:09

Spherical embedding16:07

Similarities in a hierarchy19:23

To get rid of occurrences of explicit labels ...23:57