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Disambiguation of "Zaefferer, Martin"

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Models.

, and . Hyperparameter Tuning for Machine and Deep Learning with R, Springer, (2023)

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Dietmar Zaefferer

Martin Klug

The late Quaternary environmental and climatic history of North-East Greenland, inferred from coastal lakes. Uni Köln, (2009)

Martin Brückner

Vergleichende Untersuchungen zur Inzidenz apoptotischer und proliferativer Veränderungen kultivierter, humaner Knochenzellen von Ober- und Unterkiefer auf maschinenbearbeitetem, reinem Titan über 25 Tage. Uni Leipzig, (2009)

Martin Breitenfeldt

Mass measurements on short-lived Cd and Ag nuclides at the online mass spectrometer ISOLTRAP. Uni Greifswald, (2009)

Martin Faes

Analyse der mehrskaligen Transportmechanismen beim laminaren Mischen mittels laseroptischer und numerischer Methoden. Uni Hannover, (2009)
 

Other publications of authors with the same name

Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs., , , , , , , , , and 1 other author(s). CoRR, (2021)Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis., , , and . GECCO, page 916-924. ACM, (2019)An empirical approach for probing the definiteness of kernels., , and . Soft Comput., 23 (21): 10939-10952 (2019)Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis., , , , , , , , , and 2 other author(s). GECCO Companion, page 293-294. ACM, (2021)Surrogate models for discrete optimization problems. Dortmund University, Germany, (2018)base-search.net (ftunivdortmund:oai:eldorado.tu-dortmund.de:2003/37870).The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems., , , , , , , , , and 12 other author(s). CoRR, (2022)Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic., , , , , , , , , and 3 other author(s). CEC, page 728-735. IEEE, (2021)Models., and . Hyperparameter Tuning for Machine and Deep Learning with R, Springer, (2023)A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces., and . PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 399-410. Springer, (2018)Case Study IV: Tuned Reinforcement Learning (in Python)., and . Hyperparameter Tuning for Machine and Deep Learning with R, Springer, (2023)