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IDE+A

Institute for Data Science, Engineering, and Analytics

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Category: Recommendation

Reading Recommendation: “Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications”

The preprint, which was written by Christina Sauer, Anne-Laure Boulesteix, Luzia Hanßum, Farina Hodiamont, Claudia Bausewein, and Theresa Ullmann, is available on arXiv: https://arxiv.org/abs/2412.03491 Abstract: … More

Hyperparameter Tuning, SPOT
sigevo

The last 2024 issue of the SIGEvolution newsletter  (Winter 2024) is now available online

The last 2024 issue of the SIGEvolution newsletter  (Winter 2024) is now available online: https://evolution.sigevo.org/issues/HTML/sigevolution-17-4/index.html Many thanks to our contributors.  … More

More than 300 Computer Science books in open access so you can download the PDFs

Here is the link to Springer.com, where you can find > 300 OA books: https://link.springer.com/search?package=openaccess&facet-content-type=%22Book%22&facet-discipline=%22Computer+Science%22 Many thanks to Frank Nielsen, … More

Reading Recommendation: “SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization”

The paper contributes to visualizing such outcome vectors independent of how they have been generated.

Optimization

Recent Posts

  • IDE+A Institut auf dem General Assembly Meeting des SHAPE-FUTURE Projekts in Riga
  • ICML (International Conference on Machine Learning): Rückblick von Noah Pütz
  • “Recent Trends and Perspectives in AI” by Julian Hatzky (Technical Lead, Prognos AG)
  • ICLR 2024 Review by Jens Brandt
  • Forschung live: KI im Rennsport

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