benchmark data set for Metareasoning problem
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03-11-2019 - |
Question
I am developing algorithm for solving following problem:
Given a set of items with unknown feature(s) (but know distribution of feature(s)). Algorithm must choose what items to measure(every measure has some cost)). I use Value of information theory to find this measurements.
After measurements are done algorithm choose K best items from the set, using some utility function that depends on feature values of items.
I crafted few synthetic data sets, but perhaps there are some benchmark data sets that are used for this kind of problems?
Regards.
No correct solution
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