806 citations · 884 across the 11 of their papers we have counts for
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quant-ph2021★ 23 cited
Representation of binary classification trees with binary features by quantum circuits
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
We propose a quantum representation of binary classification trees with binary features based on a probabilistic approach. By using the quantum computer as a processor for probabil…
stat.ML2021★ 4 cited
Calibrated simplex-mapping classification
Raoul Heese, Jochen Schmid, Michał Walczak +1
We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers…