Compensating Data Shortages in Manufacturing with Monotonicity Knowledge

Compensating Data Shortages in Manufacturing with Monotonicity Knowledge

Systematic decision making in engineering requires appropriate models. In this article, we introduce 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. Incorporating such i...

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Bibliographic Details
Main Authors: Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Jan Schwientek, Anke Stoll
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Algorithms
Subjects:
monotonic regression
manufacturing
informed machine learning
expert knowledge
semi-infinite optimization
shape constraints
Online Access:https://www.mdpi.com/1999-4893/14/12/345

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https://www.mdpi.com/1999-4893/14/12/345

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