These also sound like good hackathon projects!

Matt

Sent from my MegaPhone

> On Oct 16, 2013, at 8:03 PM, Chetan Surpur <[email protected]> wrote:
> 
> 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 <[email protected]> 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.
>> 
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