svdsqrtm

Taking the square root of a matrix using the singular value decomposition

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

svdsqrtm function

<dl><dt>X</dt>
<dd>matrix; square input matrix</dd></dl>

Arguments

Taking the square root of a matrix using the singular value decomposition — svdsqrtm

<dl>

<dt>X</dt>
<dd>matrix; square input matrix</dd>

</dl>

svdsqrtm: Taking the square root of a matrix using the singular value decomposition

Description

Usage

Value

Arguments