Looks like an interesting challenge! --------- Matt Taylor OS Community Flag-Bearer Numenta
On Wed, Sep 3, 2014 at 6:35 PM, Mauri Niininen <[email protected]> wrote: > My Morse Learning Machine Challenge was approved by Kaggle today. > http://ag1le.blogspot.com/2014/09/morse-learning-machine-challenge.html > > The goal of this competition is to build a machine that learns how to > decode audio files containing Morse code. I hope to attract people who > are interested in solving new, difficult challenges using their predictive > data modeling, computer science and machine learning expertise. > > During the competition, the participants build a learning system capable > of decoding Morse code. To that end, they get development data consisting > of 200 .WAV audio files containing short sequences of randomized Morse > code. The data labels are provided for a training set so the participants > can self-evaluate their systems. To evaluate their progress and compare > themselves with others, they can submit their prediction results on-line to > get immediate feedback. A real-time Kaggle leaderboard shows participants > their current standing based on their validation set predictions. > > I have also provided a sample Python Morse decoder to make it easier to > get started. While this software is purely experimental version it has some > features of the FLDIGI Morse decoder but implemented using Python instead > of C++. It would be great to get NuPIC integrated to this Python decoder > to see how well CLA works vs. other machine learning algorithms in this > application area. > > > Please help me to spread this message to attract participants for the > Morse Learning Machine challenge! > https://inclass.kaggle.com/c/morse-challenge > > 73 > Mauri AG1LE >
