cov_ml

Biased (maximum likelihood) estimate of the covariance matrix

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

cov_ml function

<dl><dt>X</dt>
<dd>matrix with observations</dd></dl>

Arguments

Biased (maximum likelihood) estimate of the covariance matrix — cov_ml

<dl>

<dt>X</dt>
<dd>matrix with observations</dd>

</dl>

cov_ml: Biased (maximum likelihood) estimate of the covariance matrix

Description

Usage

Arguments