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Re:Deep Forest: Towards an Alternative to Deep Neural Networks by jkbschwarz on Thursday March 02, 2017 @06:32AM (#13773331)
To your point that they are comparing small datasets. I dont see that as a problem. If they achieve better results on small datasets that is a great achievement, as often the bottleneck is the size of the dataset rather than computation time.
Re:Deep Forest: Towards an Alternative to Deep Neural Networks by krona on Thursday March 02, 2017 @07:35AM (#13773584)
> often the bottleneck is the size of the dataset rather than computation time

That's generally true for DNNs, which is a good place to be if you have lots of data. This typically isn't true for tree based approaches, which is why they fell out of fashion in some problem domains; they don't generalize as well. This paper doesn't seem to change what we already know in this respect.

Re:Deep Forest: Towards an Alternative to Deep Neural Networks by argonaut on Thursday March 02, 2017 @11:58AM (#13775717)
They achieve substantially worse results than state of the art on (the toy dataset) MNIST.