Hi Subutai, I checked back with the Wiki, there was a new page up for anomaly. That should be more than enough.
Thank you, Nick On Sep 6, 2014, at 4:11 AM, Subutai Ahmad <[email protected]> wrote: > 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 >> >> > > >
