Results 21 to 30 of about 368,237 (276)
IEEE Access, 2019 Different automated decision support systems based on artificial neural network (ANN) have been widely proposed for the detection of heart disease in previous studies. However, most of these techniques focus on the preprocessing of features only. In this
Liaqat Ali +5 more
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Applied Sciences, 2022 For patients with rare comorbidities, there are insufficient observations to accurately estimate the effectiveness of treatment. At the same time, all diagnosis, including rare diagnosis, are part of the International Classification of Disease (ICD ...
Hua Min +3 more
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Random Prism: An Alternative to Random Forests. [PDF]
, 2011 Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
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Overfitting Bayesian Mixture Models with an Unknown Number of Components [PDF]
, 2015 This paper proposes solutions to three issues pertaining to the estimation of finite mixture models with an unknown number of components: the non-identifiability induced by overfitting the number of components, the mixing limitations of standard Markov ...
Mengersen, Kerrie +3 more
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Controlling the Overfitting of Heritability in Genomic Selection through Cross Validation. [PDF]
, 2017 In genomic selection (GS), all the markers across the entire genome are used to conduct marker-assisted selection such that each quantitative trait locus of complex trait is in linkage disequilibrium with at least one marker.
Jia, Zhenyu
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Challenges of Vehicle Classification Using Acoustics
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Automated acoustic classification of vehicles is a challenging problem with many variables. Vehicles produce complex sounds from many sources, sound signatures vary between similar vehicles, and background noise has a large impact on audio data.
Raiden Evans +2 more
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How prevalent is overfitting of regression models? A survey of recent articles in three psychology journals [PDF]
Tutorials in Quantitative Methods for Psychology, 2021 Since 2011, there has been much discussion and concern about a "replication crisis" in psychology. An inability to reproduce findings in new samples can undermine even basic tenets of psychology.
Dalicandro, Lauren +3 more
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A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark [PDF]
, 2019 Automatic program repair papers tend to repeatedly use the same benchmarks. This poses a threat to the external validity of the findings of the program repair research community.
Durieux, Thomas +3 more
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JOIV: International Journal on Informatics Visualization, 2023 Concrete mixture design for concrete slump test has many characteristics and mostly noisy. Such data will affect prediction of machine learning. This study aims to experiment on H2O Deep Learning framework and Bagging for noisy data and overfitting ...
Stefanus Santosa +4 more
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IEEE Access, 2023 Batch Normalization (BN) is an essential component of the Deep Neural Networks (DNNs) architectures. It helps improve stability, convergence, and generalization. However, studies are showing that BN might introduce several concerns.
Khanh-Binh Nguyen +2 more
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