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Ivan Godard
Post count: 689

Interesting bedtime reading; thank you.

I had one concern: the compaction phase is static preprocessing, which is fine for a fixed corpus but doesn’t really work when the a priori weights are unknown. Compaction looks to be the bin packing problem, and you shouldn’t (I surmise) stick a NP step in the processing. I wonder whether true isolation of the kernels is really necessary though – if the kernels are sparse enough, shouldn’t it be possible to just slam them together randomly and let any collisions be “learned around”in the style of a Bloom Filter?