With all of the press about deep learning it is also good to see progress in other AI fields (1 million constraints now for SAT solvers, etc.)
I saved the PDF in my permanent archive - really good stuff.
Anybody got an intuition as to why is that so? Something like having opinionated low-variance high-bias classifiers that you ensemble?
In which case, how can it be better than random forests?