Results 11 to 20 of about 701,150 (283)
GEANT4 parameter tuning using Professor
Journal of Instrumentation, 2020 The Geant4 toolkit is used extensively in high energy physics to simulate the passage of particles through matter and to predict effects such as detector efficiencies and smearing. Geant4 uses many underlying models to predict particle interaction kinematics, and uncertainty in these models leads to uncertainty in high energy physics measurements.
Elvira, V. +12 more
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Hierarchical Collaborative Hyper-Parameter Tuning
, 2022 Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distributed technique for determining near-optimal values for any arbitrary set of hyper-parameters in a machine learning model.
Ahmad Esmaeili +2 more
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Research on application of ZigBee technology in PID controller parameter tuning
Gong-kuang zidonghua, 2016 In view of problem of traditional PID parameter tuning such as installation and wiring of cable are quite cumbersome,operation lacks flexibility, the paper proposed to apply ZigBee technology to PID parameter tuning.
LIU Xianfeng +2 more
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Proceedings of the VLDB Endowment, 2022 The ever-growing demand and complexity of machine learning are putting pressure on hyper-parameter tuning systems: while the evaluation cost of models continues to increase, the scalability of state-of-the-arts starts to become a crucial bottleneck.
Li, Yang +7 more
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Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. [PDF]
IEEE Trans Med Imaging, 2018 Shen C +4 more
europepmc +2 more sources
Stability, convergence, and robustness of deterministic multivariable self-tuning control
工程科学学报, 2019 Self-tuning control is an important approach to intelligent control system design because this kind of control system uses online parameter estimation (or learning) to derive the model of the plant, and as a result of model parameter estimation (or ...
ZHAO Li, ZHANG Wei-cun, CHU Tian-guang
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A Methodology for Spark Parameter Tuning [PDF]
Big Data Research, 2018 Spark has been established as an attractive platform for big data analysis, since it manages to hide most of the complexities related to parallelism, fault tolerance and cluster setting from developers. However, this comes at the expense of having over 150 configurable parameters, the impact of which cannot be exhaustively examined due to the ...
Gounaris, Anastasios +1 more
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Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation [PDF]
, 2011 High-dimensional binary classification tasks, e.g. the classification of microarray samples into normal and cancer tissues, usually involve a tuning parameter adjusting the complexity of the applied method to the examined data set.
Augustin, Thomas +2 more
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Kongzhi Yu Xinxi JishuFor the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable ...
CHANG Sheng, WAN Yubin, JIANG Tao
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ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace
Operations Research Perspectives, 2021 This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithms with irace. It provides a visual representation of the configuration process, allowing users to extract useful information, e.g.
Marcelo de Souza +3 more
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