( en | de | ru )

 

Disambiguation of "Zaefferer, Martin"

Author of the publication

copydeleteadd this publication to your clipboard
Noisy optimization with sequential parameter optimization and optimal computational budget allocation.

, , , , , , and . GECCO (Companion), page 119-120. ACM, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

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

Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis., , , and . GECCO, page 916-924. ACM, (2019)Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm., , , , and . IEEE Trans. Evol. Comput., 26 (6): 1365-1379 (2022)Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs., , , , , , , , , and 1 other author(s). CoRR, (2021)An empirical approach for probing the definiteness of kernels., , and . Soft Comput., 23 (21): 10939-10952 (2019)Case Study I: Tuning Random Forest (Ranger)., , , and . Hyperparameter Tuning for Machine and Deep Learning with R, Springer, (2023)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)Models., and . Hyperparameter Tuning for Machine and Deep Learning with R, Springer, (2023)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)