WellSVM_supervised

A degenerated version of WellSVM where the labels are complete, that is, supervised learning

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

Jesse Krijthe

RSSL

Implementations of Semi-Supervised Learning Approaches for
Classification

WellSVM_supervised function

<dl><dt>K0</dt>
<dd>kernel matrix</dd>
<dt>y</dt>
<dd>labels</dd>
<dt>opt</dt>
<dd>options</dd>
<dt>ind_y</dt>
<dd>Labeled/Unlabeled indicator</dd></dl>

Arguments

A degenerated version of WellSVM where the labels are complete, that is, supervised learning — WellSVM_supervised

<dl>

<dt>K0</dt>
<dd>kernel matrix</dd>


<dt>y</dt>
<dd>labels</dd>


<dt>opt</dt>
<dd>options</dd>


<dt>ind_y</dt>
<dd>Labeled/Unlabeled indicator</dd>

</dl>

WellSVM_supervised: A degenerated version of WellSVM where the labels are complete, that is, supervised learning

Description

Usage

Arguments