Kerstin Paech

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Accepted —-. Received —-; in original form —-. ABSTRACT We present an analysis of a general machine learning technique called 'stacking' for the estimation of photometric redshifts. Stacking techniques can feed the photometric redshift estimate, as output by a base algorithm, back into the same algorithm as an additional input feature in a subsequent(More)
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