On Mon, Mar 31, 2008 at 5:38 PM, Jonathan Stickel <[EMAIL PROTECTED]> wrote:
> Firstly, I would like to ask about the spline-gcvspl package, which
>  provides a nice way to smooth data.  What is the origin of the non-free
>  license?  I looked at the source link for the fortran dependency and
>  performed a google search, but I cannot find the posted license
>  anywhere.  Does the non-free license (dated 1986) still apply?  Other
>  references on the web, including a Matlab mex interface, seem to imply
>  that this code is public domain, or at least provide no
>  copyright/license information at all.
>
>  Secondly, I have written a set of functions that implements data
>  smoothing by Tikhonov regularization.  For most cases it performs at
>  least as well as the gcvspl method, especially when looking at
>  derivatives of the data.  The code will be under the GPL and is written
>  completely in m-files.  My question is:  should I put the functions in
>  an existing octave-forge package or create a new one?  They shouldn't go
>  in splines since a spline method isn't used.  How about a
>  "data-smoothing" package or perhaps a "regularization" package?
>

Is this a kernel-based smoothing method? If so, you may also check my
recently-created
OctGPR package in main/ that is dedicated to regression & smoothing of
multidimensional
data. It currently implements the Gaussian Process Regression (kernel
smoothing) with
kernel width estimation via trust-region. I'm also planning to add RBF
regression
using GCV or BIC with the same optimization method in the near future
(currently
in progress). The package is targeted to medium-scale mildly multidimensional
(say, up to a few thousand points in up to 10-15 dimensions).
In any case, a little duplicate work is normal for Open Source :)

-- 
RNDr. Jaroslav Hajek
computing expert
Aeronautical Research and Test Institute (VZLU)
Prague, Czech Republic
url: www.highegg.matfyz.cz

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