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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
by jkbschwarz 10y ago
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.
- krona 10y ago> 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.
- argonaut 10y agoThey achieve substantially worse results than state of the art on (the toy dataset) MNIST.