Wow ... a kaggle competition is wonderful. It will provide even better annotated data for the project. Please count me in if someone else is also interested. On May 20, 2014 9:08 PM, "Matthew Taylor" <[email protected]> wrote:
> Keep in mind that we have a SoN project [1] dealing with seizure > detection. You guys should talk to Anubhav if someone plans on working > on it. > > [1] > https://github.com/numenta/nupic/wiki/SoN-2014-Projects#epilepsy-seizure-prediction > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Mon, May 19, 2014 at 8:42 PM, Chetan Surpur <[email protected]> > wrote: > > This Kaggle competition looks great! I suggest the following as a > starting > > approach for competing in it: > > > > Train two models, one for Ictal (seizure) and one for Interictal > (normal). > > With learning on, feed training data to the respective model. Then, with > > learning turned off, feed a test sample to both models, and record the > > anomaly scores for each model on the test sample. Classify the sample > based > > on the lower anomaly score between the two. > > > > I'm willing to help out with this, if anyone is interested in > participating. > > > > > > On May 19, 2014 at 4:24:05 PM, Doug King ([email protected]) wrote: > > > > I think the criticism is valid if we don't have repeatable proof of > results > > that can be evaluated against other machine learning methods. We don't > seem > > to have a good framework for that. Unfortunately all the benchmarks out > > there all are based around static object recognition. Does anyone know of > > any time based / temporal datasets being used as benchmarks? > > > > I haven't checked in with Kaggle for a while. To my surprise, today they > > opened a competition that is a good fit for NuPic and something we have > > discussed here before as a worthwhile and interesting demo. It is the > UPenn > > and Mayo Clinic's Seizure Detection Challenge. It looks like it is open > to > > anyone, not just high rankers, and the purse is $8000 USD. Competition > > closes Aug. 19 and so far about 8 teams have signed up. > > https://www.kaggle.com/c/seizure-detection > > > > -Doug > > > > > > > > On Mon, May 19, 2014 at 1:50 PM, Pedro Tabacof <[email protected]> > wrote: > >> > >> While DeepMind's results are impressive, as far as I know their deep > >> neural network was static, and the games they did really well were > somewhat > >> "static" games, with little long-term dependence between the game > states. > >> "Dynamic" games, such as Pitfall, perform rather poorly, so this could > be an > >> interesting problem to apply reinforcement learning (or motor control) > with > >> Nupic. > >> > >> > >> On Mon, May 19, 2014 at 5:43 PM, Craig Quiter <[email protected]> > wrote: > >>> > >>> I think it would be interesting to see how NuPIC scores in the Arcade > >>> Learning Environment. http://www.arcadelearningenvironment.org/DeepMind > >>> did > >>> very well here with a combination of convolutional neural nets for > spatial > >>> pooling and Q-learning with some clever tricks to do temporal pooling > and > >>> driving of actions. http://www.cs.toronto.edu/~vmnih/docs/dqn.pdfThey have > >>> a neuron per action at the top of their net, much like classification > in > >>> NuPIC works. > >>> > >>> > >>> > >>> On Mon, May 19, 2014 at 11:24 AM, Chetan Surpur <[email protected]> > >>> wrote: > >>>> > >>>> I agree that we need to show the CLA's performance on standard > >>>> benchmarks. However, I don't think those benchmarks are MNIST or > ImageNet > >>>> (as Yann LeCun suggests), at least not at this point in time. > Instead, we > >>>> need to find good time-dependent datasets that exercise the targeted > >>>> capabilities of the CLA. > >>>> > >>>> On May 19, 2014 at 4:38:03 AM, Nicholas Mitri ([email protected]) > >>>> wrote: > >>>> > >>>> I would classify those as more honest (albeit blunt) than rude. > >>>> Realistically, HTM/CLA hasn’t earned its stripes yet but that’s what > >>>> we’re trying to do as a community. > >>>> > >>>> Unfortunately, there’s a lot of ‘going with the flow’ in the efforts > >>>> I’ve been aware of. A more critical approach is necessary on our part > as a > >>>> community. There are very well known benchmarks any algorithm like > CLA needs > >>>> to perform well on and, at this point, it should be an utmost > priority for > >>>> us to put CLA through its paces and start to validate its claims > rather than > >>>> accept them at face value. > >>>> > >>>> I think it would be great if a part of the community took it upon > itself > >>>> to do just that (I’d be the first to volunteer!). Focus on breaking > down CLA > >>>> into its individual components and validating the theories on those > levels. > >>>> Not only does that grant it merit should its claims hold true but > it’ll also > >>>> reveal a lot of ways in which it can be improved or optimized. > >>>> > >>>> best, > >>>> Nick > >>>> > >>>> > >>>> On May 19, 2014, at 12:25 PM, Fergal Byrne < > [email protected]> > >>>> wrote: > >>>> > >>>> > >>>> Yann LeCun (Director of AI Research at Facebook) gave a fascinating > AMA > >>>> on Reddit [1] a few days ago. > >>>> > >>>> As usual, a few people asked him about Jeff, HTM, Numenta and NuPIC. > As > >>>> usual, his answers varied from the somewhat complimentary [2] to the > >>>> downright rude [3]. > >>>> > >>>> The whole AMA is well worth reading, but I was wondering what people > >>>> here think about the scorn many leading lights in Machine Learning > and AI > >>>> heap on HTM/CLA. > >>>> > >>>> > >>>> [1] > >>>> > http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/ > >>>> [2] > >>>> > http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/chisjsc > >>>> [3] > >>>> > http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/chj9pwm > >>>> > >>>> -- > >>>> > >>>> Fergal Byrne, Brenter IT > >>>> > >>>> Author, Real Machine Intelligence with Clortex and NuPIC > >>>> https://leanpub.com/realsmartmachines > >>>> > >>>> Speaking on Clortex and HTM/CLA at euroClojure Krakow, June 2014: > >>>> http://euroclojure.com/2014/ > >>>> and at LambdaJam Chicago, July 2014: http://www.lambdajam.com > >>>> > >>>> http://inbits.com - Better Living through Thoughtful Technology > >>>> http://ie.linkedin.com/in/fergbyrne/ - https://github.com/fergalbyrne > >>>> > >>>> e:[email protected] t:+353 83 4214179 > >>>> Join the quest for Machine Intelligence at http://numenta.org > >>>> Formerly of Adnet [email protected] http://www.adnet.ie > >>>> _______________________________________________ > >>>> 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 > >>> > >> > >> > >> > >> -- > >> Pedro Tabacof > >> > >> _______________________________________________ > >> 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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