Hi Subutai, Again, thanks for forwarding the document. It was really helpful.
I have a quick question before I delve deeper into the classifier. The document mentions that the classifier makes use of the ‘active’ bits of the temporal pooler. Are we grouping active and predictive bits under the label ‘active' here? If the predictive bits are not mapped into actual values by the classifier, then what module is performing that task when I query for the predicted field value at any time step? If they are, what process is used to decouple multiple simultaneous predictions and map each to its corresponding value to compare it against a value after X time steps? Is it as simple as looking at the normalized RADC table and picking the top 3 buckets with the highest likelihoods, mapping them into their actual values, then attaching the likelihood to the prediction as a confidence measure? There are clearly some major holes in my understanding of the algorithms at play, I’d appreciate the clarifications :). thanks, Nick On Aug 13, 2014, at 8:39 PM, Subutai Ahmad <[email protected]> wrote: > Hi Nick, > > Nice diagram! In addition to the video David sent, we have a NuPIC issue to > create this document: > > https://github.com/numenta/nupic/issues/578 > > I found some old documentation in our archives. Scott is planning to update > the wiki with this information. I have also attached it here for reference > (but warning, it may be a bit outdated!) > > --Subutai > > > On Wed, Aug 13, 2014 at 9:03 AM, cogmission1 . <[email protected]> > wrote: > Hi Nicholas, > > This is the only source with any depth I have seen. Have you seen this? > > https://www.youtube.com/watch?v=z6r3ekreRzY > > David > > > On Wed, Aug 13, 2014 at 10:46 AM, Nicholas Mitri <[email protected]> wrote: > Hey all, > > Based on my understanding of the material in the wiki, the CLA algorithms can > be depicted by the figure below. > There’s plenty of info about SP and TP in both theory and implementation > details. > I can’t seem to find much information about the classifier though. > If I’ve understood correctly, this is not a classifier in the Machine > Learning sense of the word but rather a mechanism to translate TP output into > values of the same data type as the input for comparison purposes. > > I’d really appreciate some more involved explanation of the process in terms > of what data is stored step to step and how the look-up/mapping mechanics are > implemented. > > best, > Nick > > <Screen Shot 2013-12-02 at 4.00.01 PM.png> > > _______________________________________________ > 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 > > > <multistep_prediction.docx>_______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
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