Nick, I'll link to that paper from our community content section of our website.
http://numenta.org/community-content.html Thanks, --------- Matt Taylor OS Community Flag-Bearer Numenta On Thu, Mar 6, 2014 at 4:16 AM, Nicholas Mitri <[email protected]> wrote: > Hey again, > > I was going through the "Other CLA Projects" section and I found the > included thesis to be a great read! > Unfortunately, the link to the c++ re-implementation seems to be broken. > Is there another way to obtain that? > Also, the author of the thesis mentions that the implementation was > verified with the help of Numenta. How accurate is this? > > thank you, > Nick > > > On Mar 4, 2014, at 7:11 PM, Matt Keith <[email protected]> wrote: > > Good idea, I have updated the wiki to include Subutai's comments. > > Matt > > On Mar 4, 2014, at 9:43 AM, Matthew Taylor <[email protected]> wrote: > > This would make a good wiki page if anyone is interested in helping out. > I'm a little swamped with event planning. > > https://github.com/numenta/nupic/wiki/Introduction-to-the-Algorithms > > Regards, > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Tue, Mar 4, 2014 at 4:56 AM, Nicholas Mitri <[email protected]>wrote: > >> Thank you Subutai! >> >> Those seem like great places to start. >> Appreciate the help. >> >> Nick >> >> >> On Mar 4, 2014, at 3:56 AM, Subutai Ahmad <[email protected]> wrote: >> >> Hi Nicholas, >> >> Improving this level of documentation is definitely a high priority for >> us this year. A couple of places you could look: >> >> 1) There's a simple example of using the temporal pooler directly here: >> >> examples/tp/hello_tp.py >> >> 2) Kevin is also working on a simple example of using the spatial pooler. >> The issue with the conversation is here: >> >> https://github.com/numenta/nupic/issues/654 >> >> and his current working code is here: >> >> https://github.com/lonesword/nupichelloworld/blob/master/helloworld.py >> >> 3) The hotgym client is probably the easiest one to use if you want an >> end to end system. >> >> 4) The python implementations of the algorithms are here if you want to >> directly modify them: >> >> py/nupic/research/spatial_pooler.py >> py/nupic/research/TP.py >> >> Hope this helps. >> >> --Subutai >> >> >> On Sat, Mar 1, 2014 at 7:09 AM, Nicholas Mitri <[email protected]>wrote: >> >>> Hello, >>> >>> I was wondering what the best way to approach learning the details of >>> the implementation was. >>> After getting the build ready and reading through some of the example >>> clients, what should a newcomer explore to get a better grasp of how the >>> implementation and the white paper differ? and possibly add their own >>> modifications at the algorithmic level? >>> >>> I'm interested in testing NUPIC from a machine learning perspective and >>> using it as part of a number of comparative studies with clustering and >>> learning algorithms. I haven't been able to get a firm handle on how >>> everything is implemented though. >>> >>> I'd appreciate any guidance in that respect :). >>> >>> Best, >>> Nicholas >>> _______________________________________________ >>> nupic mailing list >>> [email protected] >>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >>> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >
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