Hyper-parameter optimization tools comparison for multiple object tracking applications
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0984-1
Abstract: Commonly, an algorithm needs a certain number of variables that control its behavior. The optimal values result in a better performance that could generate profits for companies, make the algorithm stands out from similar applications… read more here.
Keywords: multiple object; hyper parameter; object tracking; parameter optimization ... See more keywords
Prediction of Sinter Properties Using a Hyper-Parameter-Tuned Artificial Neural Network
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DOI: 10.1021/acsomega.2c05980
Abstract: The present work aims at performing prediction validation for the physical properties of coke layered and nonlayered hybrid pelletized sinter (HPS) using artificial neural networks (ANNs). Physical property analyses were experimentally performed on the two… read more here.
Keywords: parameter tuned; hyper parameter; prediction; artificial neural ... See more keywords
Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-025-02561-x
Abstract: Supervised machine learning is increasingly being used to estimate clinical predictive models. Several supervised machine learning models involve hyper-parameters, whose values must be judiciously specified to ensure adequate predictive performance. To compare several (nine) hyper-parameter… read more here.
Keywords: hyper parameter; parameter; machine learning; model ... See more keywords