A systematic approach to parameter optimization and its application to flight schedule simulation software [PDF]
, 2022 Industrial software often has many parameters that critically impact performance. Frequently, these are left in a sub-optimal configuration for a given application because searching over possible configurations is costly and, except for developer ...
Burke, Edmund K +9 more
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Hyperparameter Tuning for Machine and Deep Learning with R [PDF]
, 2023 This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.
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A semi-automated design of instance-based fuzzy parameter tuning for metaheuristics based on decision tree induction [PDF]
, 2015 Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metaheuristics: Parameter Tuning Strategies (PTS) and Parameter Control Strategies (PCS).
Ries, Jana, Beullens, Patrick
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Efficient tuning parameter selection by cross-validated score in high dimensional models [PDF]
, 2016 As DNA microarray data contain relatively small sample size compared to the number of genes, high dimensional models are often employed. In high dimensional models, the selection of tuning parameter (or, penalty parameter) is often one of the crucial ...
Jung, Yoonsuh, Yoonsuh Jung
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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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A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]
, 2012 Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D. +16 more
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Data integration by multi-tuning parameter elastic net regression
BMC Bioinformatics, 2018 Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu +3 more
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Online automatic tuning and control for fed-batch cultivation [PDF]
, 2007 Performance of controllers applied in biotechnological production is often below expectation. Online automatic tuning has the capability to improve control performance by adjusting control parameters.
Straten, G., van +7 more
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Self-tuning method for a linear active disturbance rejection controller
工程科学学报, 2015 This paper introduces a parameter self-tuning algorithm based on dynamic response time series data mining to solve the parameter self-tuning difficulty of a linear active disturbance rejection controller(LADRC).
LI Yang, WANG Jing, ZHANG Yong-jun
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Parameter Tuning for Local-Search-Based Matheuristic Methods
Complexity, 2017 Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. These methods, also known as matheuristics, have been shown to perform especially well for large, complex ...
Guillermo Cabrera-Guerrero +5 more
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