isplinebasis

Inner function call to create I-splines based on the
user defined <code>knots</code> and polynomial degree <code>d</code> of the splines

Implements the SVM-Maj algorithm to train data with support vector machine
<doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.

Hok San Yip

SVMMaj

Implementation of the SVM-Maj Algorithm

Hoksan Yip

Georgi Nalbantov

isplinebasis function

<dl><dt>x</dt>
<dd>a scalar or vector of values which will be transformed into splines</dd>
<dt>knots</dt>
<dd>a vector of knot values of the splines</dd>
<dt>d</dt>
<dd>the polynomial degree of the splines</dd></dl>

Arguments

Transform a given data into I-splines — isplinebasis

<dl>

<dt>x</dt>
<dd>a scalar or vector of values which will be transformed into splines</dd>


<dt>knots</dt>
<dd>a vector of knot values of the splines</dd>


<dt>d</dt>
<dd>the polynomial degree of the splines</dd>

</dl>

isplinebasis: Transform a given data into I-splines

Description

Usage

Value

Arguments