Re: [Nmlrg] One comment on the proposed charter...

Ed Henry <networkn3rd@gmail.com> Wed, 29 June 2016 20:11 UTC

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From: Ed Henry <networkn3rd@gmail.com>
Date: Wed, 29 Jun 2016 16:11:29 -0400
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To: David Meyer <dmm@1-4-5.net>
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Subject: Re: [Nmlrg] One comment on the proposed charter...
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On Wed, Jun 29, 2016 at 1:59 PM, David Meyer <dmm@1-4-5.net> wrote:

>
> All,
>
> I was just reviewing the proposed charter and one thing we might consider
> adding is the open database item (formally standardized datasets). We need
> this not only to make progress and to prove out how various approaches work
> (or don't work), whether new approaches improve on existing methods, and
> the like.
>
> More generally, the machine learning community has a long standing
> tradition of open source, open data, and even open models (AlexNet,
> GoogLeNet, etc are excellent examples of the later). The NMLRG should
> strive to carry on these traditions, and they should probably be reflected
> in the charter. Perhaps something like:
>

+1 On keeping this long standing tradition.


> To "The Network Machine Learning Research Group (NMLRG) provides a forum
> for researchers to explore the potential of machine learning technologies
> for networks. In particular, the NMLRG will work on potential approaches
> that apply machine learning technologies in network control, network
> management, and supplying network data for upper-layer applications.'
>
> add something like
>
>
> "In addition and to the extent possible, approaches proposed in the NMLRG
> should be documented not only with traditional written documentation but
> also with an open source reference implementation and open access to the
> data used to verify the approach."
>

> or similar, again with the goal of supporting/carrying on the open science
> approach that has been so successful to date in the ML community.
>

+1 again. Would it be possible to use a hosted service such as Github or
the like for hosting code, documentation, and data-set(s)? I think,
traditionally, there was some adversity to using a hosted service like
Github, at least within the IETF, but in general the ML community rallies
around this platform. So it would almost make sense in that respect.


>
> Thanks,
>
> --dmm
>
>
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