Search alternatives:
modeling algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), boosting algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), tracking algorithm (Expand Search)
modeling algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), boosting algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), tracking algorithm (Expand Search)
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Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…It addresses the limitations of the hydrophone coprime array in utilizing all array elements’ information and mitigates the interference of ocean noise in shallow waters, which impairs the accuracy and resolution of target direction estimation. …”
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Table_1_Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agent-Bas...
Published 2021“…Herein we propose a machine learning approach that utilizes genetic algorithms (GAs) to calibrate and refine an agent-based model (ABM) of acute systemic inflammation, with a focus on accounting for the heterogeneity seen in a clinical data set, thereby avoiding overfitting and increasing the robustness and potential generalizability of the underlying simulation model.…”
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Personalized computational finite element models for left atrial electromechanics
Published 2021“…Retrospective analysis of 3 patient cases who underwent coronary computed tomography angiography at Guy’s and St Thomas’ NHS Foundation Trust was performed to generate computational models suitable for electromechanical finite element simulations. …”
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FindPrimaryPairs: An efficient algorithm for predicting element-transferring reactant/product pairs in metabolic networks
Published 2018“…However, such information is not readily available and is often challenging to obtain for large reaction databases or genome-scale metabolic models. In this study, a new algorithm was developed for automatically predicting the element-transferring reactant/product pairs using the limited information available in the standard representation of metabolic networks. …”
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Data_Sheet_1_Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agen...
Published 2021“…Herein we propose a machine learning approach that utilizes genetic algorithms (GAs) to calibrate and refine an agent-based model (ABM) of acute systemic inflammation, with a focus on accounting for the heterogeneity seen in a clinical data set, thereby avoiding overfitting and increasing the robustness and potential generalizability of the underlying simulation model.…”
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SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules
Published 2016“…We propose a probabilistic modeling algorithm called SMCis, which builds a more powerful CRM discovery model based on a hidden semi-Markov model. …”
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