Ian Danforth might be helpful for you. He's created some wiki pages comparing CLA to other ML techniques:
- https://github.com/numenta/nupic/wiki/CLA-for-ML-AI-Researchers - https://github.com/numenta/nupic/wiki/Comparing-NuPIC-to-other-ML-techniques --------- Matt Taylor OS Community Flag-Bearer Numenta On Fri, Jun 20, 2014 at 2:08 PM, Nicholas Mitri <[email protected]> wrote: > Hello all, > > As part of my thesis, I’m looking into different ways to compare CLA to > other machine learning algorithms. > I’ve shared a chapter a few weeks back about SP as a clustering mechanism. > Currently, I’m moving forward to another feature of CLA, feature extraction. > I’m interested in any thoughts about CLA’s capability in that respect and > what algorithms would be good candidates for a comparative study (DBNs with > boltzmann machines, SOMs, convolutional networks, etc). > > Also, I’d appreciate some thoughts on which application would be the best > way to demonstrate feature extraction/learning in CLA. I’m leaning towards > visual but I’m concerned with the deprecation of the reconstruction > mechanisms. > > All advice is much appreciated! > best, > Nick > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >
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