• Suche: "sequential model-based algorithm configuration"

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MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration
Jeroen G. Rook ; Carolin Benjamins ; Jakob Bossek ; et al.
Evolutionary Computation. :1-24

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2

Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems
Schwarz, Hannes ; Kotthoff, Lars ; Hoos, Holger ; et al.
Annals of Operations Research. 354(3):1285-1306

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4

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5

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning
Sun, Yicheng ; Keung, Jacky Wai ; Yang, Zhen ; et al.
In Information and Software Technology November 2025 187

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6

Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees
Edyta Kuk ; Jerzy Stopa ; Michał Kuk ; et al.
Energies, Vol 14, Iss 5702, p 5702 (2021)

production optimization auto-adaptive decision t... artificial intelligence machine learning sequential model-based a... CCS-EOR …
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7

Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage
Edyta Kuk ; Jerzy Stopa ; Michał Kuk ; et al.
Energies, Vol 15, Iss 3413, p 3413 (2022)

optimal control auto-adaptive decision t... artificial intelligence machine learning sequential model-based a... Technology
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9

Using automated algorithm configuration to improve the optimization of decentralized energy systems modeled as large-scale, two-stage stochastic programs
Schwarz, Hannes ; Kotthoff, Lars ; Hoos, Holger ; et al.

ddc:330 OR in energy large-scale optimization stochastic programming uncertainty modeling automated algorithm conf... …
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10

OSMAC: A Dynamic SMAC for Data Streams
Royer, Émile ; Bahri, Maroua ; Georgantas, Nikolaos ; et al.
37th International Conference on Tools with Artificial Intelligence (ICTAI 2025). :73-80

Athens, Greece Bayesian optimisation Data stream Algorithm selection Hyperparameter optimisat... Automated machine learni... …
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11

AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation
Nguyen, Tien-Dung ; Musial, Katarzyna ; Gabrys, Bogdan
In Expert Systems With Applications 15 December 2021 185

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12

Electrode informatics accelerated the optimization of key catalyst layer parameters in direct methanol fuel cells.
Ban L ; Huang D ; Liu Y ; et al.
Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: PubMed not MEDLINE; MEDLINE

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13

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models
Agriesti, Serio ; Kuzmanovski, Vladimir ; Hollmén, Jaakko ; et al.

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15

Automated Machine Learning for Time Series Forecasting
Hochschule für Technik, Wirtschaft und Kultur ; Rosenberger, Daniel ; Hochschule für Technik, Wirtschaft und Kultur ; et al.

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16

A Comparative study of Hyper-Parameter Optimization Tools
Shekhar, Shashank ; Bansode, Adesh ; Salim, Asif ; et al.

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17

Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia
Badr T. Alsulami ; Afaq Khattak
IEEE Access, Vol 13, Pp 124543-124555 (2025)

Construction accidents deep learning Electrical engineering.... time series signal processing TK1-9971
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19

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis.
Wen, Long ; Wang, You ; Li, Xinyu
Frontiers of Mechanical Engineering; Jun2022, Vol. 17 Issue 2, p1-12, 12p

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20

Pruning SMAC search space based on key hyperparameters.
Li, Hui ; Liang, Qingqing ; Chen, Mei ; et al.
Concurrency & Computation: Practice & Experience; 4/25/2022, Vol. 34 Issue 9, p1-11, 11p

CONFIGURATION space MACHINE learning REGRESSION analysis
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