Is there such a thing as an unsupervised optimized sampling?
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I have sigmoidal processes which I want to sample with, say, 10 points each. I dont know, a priori, the shape of each sigmoid.
Is there any smart way to sample the process as you collect information per sample????
suggestions welcome ;)
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