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0111 · Jul 202019922001200920172026
1 result for hyperinterpolation

This paper tackles learning functions on manifolds using parallel distributed learning.

problem Learning real-valued functions on manifolds from input-output data pairs.
method Filtered hyperinterpolation and parallel distributed learning.
result Optimal approximation order for non-distributed case, and quantitative relations for distributed case.