I don't understand what is meant by "putting the like sequences together". If there are true temporal sequences, wouldn't there only be one order (chronological order)? --------- Matt Taylor OS Community Flag-Bearer Numenta
On Wed, Dec 2, 2015 at 10:09 AM, Jason Xie <[email protected]> wrote: > Conceptually I think it makes a lot of sense that nupic learns faster for > specific inputs, if you group inputs individually. > > When many sequences are entered at once, the SP can better learn how to > represent each sequence as it is entered and the TM's lookup table will > learn a very strong association. > > It's like in life, it's easier to learn one thing at a time than everything > at once. > > On Wed, Dec 2, 2015 at 9:24 AM, Sebastián Narváez <[email protected]> > wrote: >> >> I have a training data with various sequences, which I pass trough a nupic >> structure (made of SPs, TMs and a CLAClassifier on top). Some of the >> sequences are alike (there are only one or two elements that change between >> them). I've noticed that if I put the alike sequences together, one after >> the other, nupic will learn the differences better than if I put them >> appart. I reset() all the TMs when a sequence ends, so my guess is that it >> has to do with the classifier. Anyone knows why could this happen? >> Note that I have not done any serious tests about this. I could, but it >> would take some time. > >
