Hi Nick, Thanks for the explanations. All this sounds great. With regards to documentation for anomaly detection, there is a wiki page, the hackathon video, and the anomaly likelihood code. Is that sufficient for now? Maybe if you write a section on anomaly detection we can make that our documentation? You are a good writer!
Thanks, --Subutai On Thu, Sep 4, 2014 at 4:32 AM, Nicholas Mitri <[email protected]> wrote: > Hi Subutai, > > Thanks again for the comments. I had a chance to go over them and will be > editing the doc accordingly. Considering your last comment: > > "I don’t know if you were planning to do this or not, but it might be nice > to have a short illustrative example and show how each algorithm component > works within the context of that example. Also, were you planning on > discussing anomaly detection and how anomaly scores are computed?" > > > I do want to discuss both anomaly and swarming but the lack of > documentation has been a hindrance. The vids covering those topics are > great and informative but they don’t provide enough detail for me to be > able to write a meaningful and sufficiently technical overview of their > functions. I’ll go back to the wiki and vids and try to extract as much > info to include them in the overview. > > As for the first part of the comment, I’ve assigned that discussion to a > different chapter in the thesis (outline below) > > > 5 Operation > > > - SP for clustering > - SP for feature extraction (Might be deprecated) > - TP for sequence learning > - TP for high level temporal stability (Might be deprecated) > - SP+TP > - Anomaly detection > - Classification > > I’m attaching the section covering the first point which I’ve shared with > the ML some time ago. It has been updated since but includes some > redundancies with the Overview chapter that will be removed later. > > I’ll be devising experiments for each section and carrying them out > hopefully soon. > > Finally, the last chapter of the thesis is going to be about using HTM for > Apnea prediction in infants. I’ve procured data from a local hospital > collected from CPAP devices monitoring the breathing of multiple infants > that suffer from apnea. I’m hoping that the data can be leveraged to > predict anomalies in the breathing patterns. > > > best, > Nick > > > > On Sep 3, 2014, at 7:13 PM, Subutai Ahmad <[email protected]> wrote: > > Hi Nick, > > Overall this is a great succinct description of the algorithm. Nice job! > I really like the diagrams. > > I sent you some specific comments separately. Hope that is useful! > Please send the final thesis if you are able to do that - I'm sure it > would be helpful to lots of people on the list. > > Cheers, > > --Subutai > > > On Tue, Sep 2, 2014 at 5:44 AM, Nicholas Mitri <[email protected]> > wrote: > >> Hey all, >> >> I tried compiling most of the information I could gather from the white >> paper, documentation, and vids into a succinct chapter for my thesis. >> I’m attaching it here. It’s a very rough draft and I wouldn’t be >> surprised if it were rife with inaccuracies. >> >> I’d highly appreciate any comments or feedback to refine it and iron out >> any mistakes. >> >> thanks, >> Nick >> >> > > >
