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Time | User | Activity | Comment |
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04:40, 10 July 2020 | Xor (talk | contribs) | New reply created | (Reply to Relation to "many vcs buffers") |
04:38, 10 July 2020 | Xor (talk | contribs) | New thread created |
I think this method has some relation with the popular many VCS buffers way, in which each VCS buffer forms a probability space, and by accumulating, the best group of probability space is chosen, and when having less data, it downgrades automatically.
k-nn with many dimensions does similar thing, only smoother imo.