I'm interested in participating! I haven't decided on one yet, but I wanted to point out that the CLA looks ideally suited for the AMS 2013-2014 Solar Energy Prediction contest. From what I can tell, it's about predicting the daily energy output of solar farms from 12, 15, 18, 21, 24-hourly training data. There's 29 days to go.
On Wed, Oct 16, 2013 at 7:31 PM, Pedro Tabacof <taba...@gmail.com> wrote: > Hello, > > After the warm reception of the Kaggle competition idea, I decided to > create the thread asap. For those who are not aware, Kaggle is a data > mining competition website. It has been hyped on the machine learning media > and has some great people participating in it. It rewards with different > prizes, but my focus is not earn money, but rather to see how good NuPIC > would fare against the state of the art. I found those following > competitions to be a viable start: > > 1) Accelerometer Biometric Competition > From real acceleration data you have to guess from which cell phone came > the test samples. > 36 days to go > Pros: > -Multivariable, temporal data seems ideal for the CLA > Cons: > -The best competitors are using data leaks (meta-information), so the > chance of winning fairly is zero (though they will give a consolation prize > to the best "honest" entry) > Questions: > -How fast would NuPIC go through a 1GB CSV file? > -The test data is not open-ended, that is, you have to say whether a > recording belongs to a specific cell phone or not, with 50% chance of being > right. Would NuPIC do well in this case? > > 2) Multi-Label Bird Species Classification > Try to guess the bird species present on some audio recordings > 38 days to go > Pros: > -Temporal data > Cons: > -Multiple labels, so I think we would need 87 different models, which is > kinda impractical > Question: > -Is there a better way to do multi-label classification with NuPIC? > > 3) Conway's Reverse Game of Life > Reverse the game of life for 1 to 5 steps > 4 months to go > Pros: > -Natural input sparseness (have to check on it) > -Temporal data > -Multistep classification > -We can generate our own training data if necessary > Cons: > -Maybe there are very straightforward ways to solve this (rule based, > brute force, etc) > -Too much time before the competition ends > Questions: > -How sparse does the input need to be for the CLA to work well? > -Is it possible to use a 2D arrangement on the cells connection matrix? > > There is also the AMS 2013-2014 Solar Energy Prediction contest, but I > didn't have time to go over it. The other competitions don't seem to be > suited for NuPIC. > > Who here is interested on participating and what competition do you think > to be the most promising one? > > Pedro. > -- > Pedro Tabacof, > Unicamp - Eng. de Computação 08. > > _______________________________________________ > nupic mailing list > nupic@lists.numenta.org > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >
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