RandomerForest
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Discriminant Projection Forest results, datasets, etc.
- Add coauthor, instiution, landing page - Make titles point of slide (action titles) - Slide 5: Make title "RF is best classifier" - Slide 6: What's rotating? More dramatic...
Suppose the theoretically optimal split direction at an arbitrary node is defined by a vector v*. Assume p is large, and v* has a sparsity of s. For RerF and...
The option/extent of subsampling at large nodes could potentially substantially reduce the amount of sorting while not hurting classification performance.
I'd like to use randomer forests on windows, but for the necessary mex files, such as classregtreeRCcritval, are only provided in Mac and Linux (mexmaci64 and mexa64 format). It's understandable...
if i recall, RerF is 10% better than RF on about 10% of the data? let's compute, for each dataset: 1. n 2. p 3. p/n 4. sum of singular...
in biau08a, they point out in Fig 1, that certain greedily grown trees fail to converge here, but breiman's would converge. can we think of an example where brieman would...
another variant we could explore in this manuscript, in particular, using Random Features for Large-Scale Kernel Machines to generate our random A matrix
either pre or post submission, but lots of people ask about it immediately after asking about performance. i think we could simply count the number of times a feature is...