Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling

We introduce the structure optimized proximity scaling (STOPS) framework for hyperparameter selection in parametrized multidimensional scaling and extensions (proximity scaling; PS). The selection process for hyperparameters is based on the idea that we want the configuration to show a certain struc...

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Veröffentlicht in:	Statistics and computing 2023-02, Vol.33 (1), Article 28
Hauptverfasser:	Rusch, Thomas, Mair, Patrick, Hornik, Kurt
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Bayesian analysis Computer Science Gaussian process Optimization Original Paper Probability and Statistics in Computer Science Scaling Statistical Theory and Methods Statistics and Computing/Statistics Programs
Online-Zugang:	Volltext
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