[mlpack] Gsoc2016
Ryan Curtin
ryan at ratml.org
Wed Mar 2 11:11:05 EST 2016
On Wed, Mar 02, 2016 at 01:51:45AM +0530, raj goyal wrote:
> Hi everyone,
>
> I am Rajat goyal 2nd year CS undergraduate . I am interested in doing this
> project
> 1. Implementing various tree types compatible with dual tree algorithms "
Hi Rajat,
There is lots of information available if you look through the mailing
list archives. The tree types project is a recurring project, so there
has been a lot of discussion about it over the past few years. Here are
some links to mailing list threads that have more information from
previous years:
https://mailman.cc.gatech.edu/pipermail/mlpack/2014-March/000316.html
https://mailman.cc.gatech.edu/pipermail/mlpack/2014-February/000265.html
Probably one of the most important things to do is read the following
paper and make sure you are familiar with it; trees in mlpack are used
in dual-tree algorithms, so a good understanding of dual-tree algorithms
is pretty necessary.
http://www.ratml.org/pub/pdf/2013tree.pdf
Also, the tree API has changed slightly since the mlpack 2.0.0 release,
and is documented pretty thoroughly here:
http://mlpack.org/docs/mlpack-git/doxygen.php?doc=trees.html
> 2.Neuroevolution algorithms compatible with mlpack.
> as part of gsoc2016 .I have compiled mlpack on Ubuntu and started analyzing
> the source code.I have good working knowledge of c++ and data structres and
> machine learning techniques .I would be glad if anyone can guide me for
> acquiring required knowledge for project .
This response here was for the deep learning modules project, but I
think maybe some of the papers linked to there might be helpful to read
and be familiar with:
https://mailman.cc.gatech.edu/pipermail/mlpack/2016-February/000738.html
Definitely reading papers on, e.g., CNE, CMA-ES, NEAT, or HyperNEAT
would be a good place to start. There is a nice reading list on the
Ideas page:
https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#neuroevolution-algorithms
Let me know if I can clarify anything.
Thanks!
Ryan
--
Ryan Curtin | "I'm just going to shoot you once!"
ryan at ratml.org | - Joseph Dunn
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