15 lines
739 B
Text
15 lines
739 B
Text
SVMlin is software package for linear SVMs. It is well-suited to
|
|
classification problems involving a large number of examples and features.
|
|
It is primarily written for sparse datasets.
|
|
|
|
SVMlin can also utilize unlabeled data, in addition to labeled examples.
|
|
It currently implements two extensions of standard SVMs to incorporate
|
|
unlabeled examples.
|
|
|
|
SVMlin implements the following algorithms:
|
|
- Fully supervised [using only labeled examples]
|
|
* Linear Regularized Least Squares (RLS) Classification
|
|
* Modified Finite Newton Linear L2-SVMs
|
|
- Semi-supervised [can use unlabeled data as well]
|
|
* Linear Transductive L2-SVMs with multiple switchings
|
|
* Deterministic Annealing (DA) for Semi-supervised Linear L2-SVMs
|