Whew, that was great.  Thank you for the info.  So much to learn about
info sharing, compiling, etc.


On Sep 1, 8:38 am, querido <[email protected]> wrote:
> 1. "Torrent" is a system for storing and transporting very large
> files, like DVD or bigger. A torrent (noun) is one of those files. A
> torrent "client" is the program you install that downloads the file
> for you, plus something else: everyone running a torrent client
> participates in a worldwide distributed server; everyone who receives
> a torrent also transmits to others (according to rules I don't know
> anything about). So, you contribute to a distributed server, with your
> compensation being the big files you can download. What you see, when
> you try to download a very big file, is that you're receiving from
> many different torrent clients around your area, or around the world,
> simultaneously. Also, if you have a copy of data other people want,
> and you put it in the designated place and label it as participating,
> your computer will send bits of it as it has free time. (I think you
> don't have to participate in that second part, but your system then
> gets labeled as a sort of non-ideal node, or something.)www.bittorrent.com
>
> 2. The "learning data" referred to is the giant collection of all the
> mnemosyne repetition and scoring data that's been uploaded so far.
>
> The importance of this is: The author of mnemosyne is looking for
> proof that one algorithm is better than another before accepting any
> of the many changes to the algorithm that people like myself keep
> suggesting. Lacking any proof, I keep changing mnemosyne's algorithm
> for myself, back and forth, and I'm not sure that I've accomplished
> anything *at all*. So, this is a big deal for flashcard-system
> theorists.
>
> The original post in this thread informs us that someone has collected
> this mass of information into a torrent file, and has put it in his
> torrent client for anyone who wants it. So, that's a nice favor to
> those interested. (And the more people download it, the more copies
> will be in the torrent system, and the faster subsequent downloads
> will be. That's it.)
>
> On Aug 31, 6:51 pm, Karen <[email protected]> wrote:
>
>
>
> > Does anyone feel like explaining what a "learning data torrent" is?
> > Or is it one of those - if you have to ask, you'll never get it?  Just
> > wondering,
> > Karen
>
> > On Aug 31, 9:37 pm, Peter Bienstman <[email protected]> wrote:
>
> > > Code to parse the logs is in the 2.x codebase, in the statistics_server
> > > subdir.
>
> > > Cheers,
>
> > > Peter
>
> > > On Monday 31 August 2009 02:18:11 pm mongrel wrote:
>
> > > > To HorCri (or anyone else looking at this data):
> > > > Have you started working on this yet?
> > > > Would you mention your tools and procedures?
> > > > Thank you.
>
> > > > On Aug 18, 6:55 am, HorCri <[email protected]> wrote:
> > > > > Thank you thank you! I hope I can learn something by analysing this
> > > > > batch of data.
>
> > > > > HorCri
>
> > > > > On Aug 15, 9:13 am, Peter Bienstman <[email protected]> wrote:
> > > > > > Hi,
>
> > > > > > Thanks to the work of Tomasz Melcer, there is now a torrent of the
> > > > > > collected learning data of Mnemosyne:
>
> > > > > >http://www.legittorrents.info/index.php?page=torrent-
> > > > > > details&id=29b67f580ed97d6a10429697d5006c3eb47b2f18
>
> > > > > > Please post anything you find out from it here :-)
>
> > > > > > Cheers,
>
> > > > > > Peter
>
> > > --
> > > ------------------------------------------------
> > > Peter Bienstman
> > > Ghent University, Dept. of Information Technology
> > > Sint-Pietersnieuwstraat 41, B-9000 Gent, Belgium
> > > tel: +32 9 264 34 46, fax: +32 9 264 35 93
> > > WWW:http://photonics.intec.UGent.be
> > > email: [email protected]
> > > ------------------------------------------------- Hide quoted text -
>
> > > - Show quoted text -- Hide quoted text -
>
> - Show quoted text -
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