Search Results for author: Jochen Schmid

Found 3 papers, 1 papers with code

Calibrated simplex-mapping classification

1 code implementation4 Mar 2021 Raoul Heese, Jochen Schmid, Michał Walczak, Michael Bortz

In a second step, the latent space representation of the training data is extended to the whole feature space by fitting a regression model to the transformed data.

Classification General Classification +2

Compensating data shortages in manufacturing with monotonicity knowledge

no code implementations29 Oct 2020 Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Anke Stoll

In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints, or more specifically, monotonicity constraints, is presented.

regression

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