gaussian_kernel

calculated the gaussian kernel 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

gaussian_kernel function

<dl><dt>x</dt>
<dd>A d x n training data matrix</dd>
<dt>gamma</dt>
<dd>kernel parameter</dd>
<dt>x_test</dt>
<dd>A d x m testing data matrix</dd></dl>

Arguments

calculated the gaussian kernel matrix — gaussian_kernel

<dl>

<dt>x</dt>
<dd>A d x n training data matrix</dd>


<dt>gamma</dt>
<dd>kernel parameter</dd>


<dt>x_test</dt>
<dd>A d x m testing data matrix</dd>

</dl>

gaussian_kernel: calculated the gaussian kernel matrix

Description

Usage

Value

Arguments