Geoscience Reference
In-Depth Information
92 APPENDIX B. SEMI-SUPERVISEDLEARNING SOFTWARE
Description:
Large-scale linear support vector machine package that can incorporate unlabeled
examples using two different techniques for solving the non-convex S3VM problem.
Related papers:
[
160
,
156
]
Title:
UniverSVM
Author:
Fabian Sinz (Max Planck Institute for Biological Cybernetics)
Description:
Another large-scale support vector machine implementation. Performs transductive
classification using the Universum technique, trained with the concave-convex procedure (CCCP).
Related papers:
[
186
]
OTHERMODELS
Title:
Gaussian Process Learning
Author:
Neil Lawrence (University of Manchester)
Description:
Implementation of semi-supervised learning with Gaussian processes.
Related papers:
[
106
]
