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Mersmann, Olaf
59  Ergebnisse:
Personensuche X
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1

Tuning: Methodology:

, In: Hyperparameter Tuning for Machine and Deep Learning with R,
Bartz-Beielstein, Thomas ; Zaefferer, Martin ; Mersmann, Olaf - p. 7-26 , 2023
Link: https://doi.org/10.1007/..
 
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2

Neural Networks as Black-Box Benchmark Functions Optimized ..:

, In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Prager, Raphael Patrick ; Dietrich, Konstantin ; Schneider, Lennart... - p. 129-139 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Global Study: Influence of Tuning:

, In: Hyperparameter Tuning for Machine and Deep Learning with R,
Zaefferer, Martin ; Mersmann, Olaf ; Bartz-Beielstein, Thomas - p. 283-301 , 2023
Link: https://doi.org/10.1007/..
 
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4

Analysis of modular CMA-ES on strict box-constrained proble..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Vermetten, Diederick ; López-Ibáñez, Manuel ; Mersmann, Olaf.. - p. 2346-2353 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Ranking and Result Aggregation:

, In: Hyperparameter Tuning for Machine and Deep Learning with R,
Bartz-Beielstein, Thomas ; Mersmann, Olaf ; Chandrasekaran, Sowmya - p. 121-161 , 2023
Link: https://doi.org/10.1007/..
 
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6

Increasing the Diversity of Benchmark Function Sets Through..:

, In: Lecture Notes in Computer Science; Parallel Problem Solving from Nature – PPSN XVII,
Dietrich, Konstantin ; Mersmann, Olaf - p. 590-602 , 2022
Link: https://doi.org/10.1007/..
 
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7

COCO: a platform for comparing continuous optimizers in a b..:

Hansen, Nikolaus ; Auger, Anne ; Ros, Raymond...
Optimization Methods and Software.  36 (2020)  1 - p. 114-144 , 2020
Link: https://doi.org/10.1080/..
 
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8

Session details: BBOB'15 Workshop:

, In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation,
Akimoto, Youhei ; Auger, Anne ; Brockhoff, Dimo... , 2015
Link: https://dl.acm.org/doi/1..
 
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9

Evolutionary Algorithms:

Bartz‐Beielstein, Thomas ; Branke, Jürgen ; Mehnen, Jörn.
WIREs Data Mining and Knowledge Discovery.  4 (2014)  3 - p. 178-195 , 2014
Link: https://doi.org/10.1002/..
 
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10

A novel feature-based approach to characterize algorithm pe..:

Mersmann, Olaf ; Bischl, Bernd ; Trautmann, Heike...
Annals of Mathematics and Artificial Intelligence.  69 (2013)  2 - p. 151-182 , 2013
Link: https://doi.org/10.1007/..
 
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11

A feature-based comparison of local search and the christof..:

, In: Proceedings of the twelfth workshop on Foundations of genetic algorithms XII,
Nallaperuma, Samadhi ; Wagner, Markus ; Neumann, Frank... - p. 147-160 , 2013
Link: https://dl.acm.org/doi/1..
 
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12

Session details: Black box optimization benchmarking 2013 (..:

, In: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation,
Auger, Anne ; Bischl, Bernd ; Brockhoff, Dimo... , 2013
Link: https://dl.acm.org/doi/1..
 
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13

Session details: Black box optimization benchmarking 2012 (..:

, In: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation,
Auger, Anne ; Poaik, Petr ; Hansen, Nikolaus... , 2012
Link: https://dl.acm.org/doi/1..
 
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14

Algorithm selection based on exploratory landscape analysis..:

, In: Proceedings of the 14th annual conference on Genetic and evolutionary computation,
Bischl, Bernd ; Mersmann, Olaf ; Trautmann, Heike. - p. 313-320 , 2012
Link: https://dl.acm.org/doi/1..
 
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15

Non‐monotonicity of Observed Hypervolume in 1‐Greedy S‐Metr..:

Judt, Leonard ; Mersmann, Olaf ; Naujoks, Boris
Journal of Multi-Criteria Decision Analysis.  20 (2012)  5-6 - p. 277-290 , 2012
Link: https://doi.org/10.1002/..
 
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