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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2023 | 2022 | 2021 | 2020 | 2019 | 2016 | 2015
Anzahl der Publikationen: 14

2023

Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980; Binder, Martin; Lang, Michel ORCID logoORCID: https://orcid.org/0000-0001-9754-0393; Pielok, Tobias; Richter, Jakob ORCID logoORCID: https://orcid.org/0000-0003-4481-5554; Coors, Stefan ORCID logoORCID: https://orcid.org/0000-0002-7465-2146; Thomas, Janek; Ullmann, Theresa ORCID logoORCID: https://orcid.org/0000-0003-1215-8561; Becker, Marc ORCID logoORCID: https://orcid.org/0000-0002-8115-0400; Boulesteix, Anne‐Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Deng, Difan und Lindauer, Marius ORCID logoORCID: https://orcid.org/0000-0002-9675-3175 (2023): Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. In: WIREs Data Mining and Knowledge Discovery, Bd. 13, Nr. 2 [PDF, 6MB]

2022

Moosbauer, Julia; Binder, Martin; Schneider, Lennart; Pfisterer, Florian; Becker, Marc; Lang, Michel; Kotthoff, Lars und Bischl, Bernd (2022): Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. In: IEEE Transactions on Evolutionary Computation (T-Evc), Bd. 26, Nr. 6: S. 1336-1350

2021

Binder, Martin; Pfisterer, Florian; Lang, Michel; Schneider, Lennart; Kotthoff, Lars und Bischl, Bernd (2021): mlr3pipelines-Flexible Machine Learning Pipelines in R. In: Journal of Machine Learning Research, Bd. 22

Sonabend, Raphael; Kiraly, Franz J.; Bender, Andreas; Bischl, Bernd und Lang, Michel (2021): mlr3proba: an R package for machine learning in survival analysis. In: Bioinformatics, Bd. 37, Nr. 17: S. 2789-2791

2020

Bommert, Andrea; Sun, Xudong; Bischl, Bernd; Rahnenfuehrer, Jörg und Lang, Michel (2020): Benchmark for filter methods for feature selection in high-dimensional classification data. In: Computational Statistics & Data Analysis, Bd. 143, 106839

Sun, Xudong; Bommert, Andrea; Pfisterer, Florian; Rähenfürher, Jörg; Lang, Michel und Bischl, Bernd (2020): High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions. In: Intelligent Systems and Applications, Vol 1, Bd. 1037: S. 629-647

2019

Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin und Bischl, Bernd (2019): OpenML: An R package to connect to the machine learning platform OpenML. In: Computational Statistics, Bd. 34, Nr. 3: S. 977-991

2016

Bischl, Bernd; Lang, Michel; Kotthoff, Lars; Schiffner, Julia; Richter, Jakob; Studerus, Erich; Casalicchio, Giuseppe und Jones, Zachary M. (2016): mlr: Machine Learning in R. In: Journal of Machine Learning Research, Bd. 17, Nr. 1: S. 5938-5942

Schiffner, Julia; Bischl, Bernd; Lang, Michel; Richter, Jakob; Jones, Zachary M.; Probst, Philipp; Pfisterer, Florian; Gallo, Mason; Kirchhoff, Dominik; Kühn, Tobias; Thomas, Janek und Kotthoff, Lars (2016): mlr Tutorial. In: CoRR, Bd. abs/1609.06146

Richter, Jakob; Kotthaus, Helena; Bischl, Bernd; Marwedel, Peter; Rahnenführer, Jörg und Lang, Michel (2016): Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. In: Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29 - June 1, 2016, Revised Selected Papers. Theoretical Computer Science and General Issues, Bd. 10079. Cham: Springer. S. 267-273

Bischl, Bernd; Lang, Michel; Kotthoff, Lars; Schiffner, Julia; Richter, Jajob; Studerus, Erich; Casalicchio, Giuseppe und Jones, Zachary M. (2016): mlr: Machine Learning in R. In: Journal of Machine Learning Research, Bd. 17, 1

2015

Lang, Michel; Kotthaus, Helena; Marwedel, Peter; Weihs, Claus; Rahnenführer, Jörg und Bischl, Bernd (2015): Automatic model selection for high-dimensional survival analysis. In: Journal of Statistical Computation and Simulation, Bd. 85, Nr. 1: S. 62-76

Kotthaus, Helena; Korb, Ingo; Lang, Michel; Bischl, Bernd; Rahnenführer, Jörg und Marwedel, Peter (2015): Runtime and memory consumption analyses for machine learning R programs. In: Journal of Statistical Computation and Simulation, Bd. 85, Nr. 1: S. 14-29

Bischl, Bernd; Lang, Michel; Mersmann, Olaf; Rahnenführer, Jörg und Weihs, Claus (2015): BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments. In: Journal of Statistical Software, Bd. 64, Nr. 11: S. 1-25

Diese Liste wurde am Sat Nov 16 20:08:14 2024 CET erstellt.