Results 41 to 50 of about 49,678 (264)
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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Bayesian Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Qing, Lin, Nan
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Wavelet-domain elastic net for clustering on genomes strains
Genetics and Molecular Biology, 2018 We propose to evaluate genome similarity by combining discrete non-decimated wavelet transform (NDWT) and elastic net. The wavelets represent a signal with levels of detail, that is, hidden components are detected by means of the decomposition of this ...
Leila Maria Ferreira +2 more
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Combining Lateral and Elastic Interactions: Topology-Preserving Elastic Nets
Neural Processing Letters, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Valery Tereshko, Nigel M. Allinson
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Elastic neural net for the earthquake epicenter search
Discrete Dynamics in Nature and Society, 2002 Automatic processing of seismic data is today a key element in the efforts to achieve high quality seismic systems. Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back ...
I. Antoniou, V. V. Ivanov, I. V. Kisel
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Barekeng, 2023 Diabetes Mellitus (DM) is a disease that can occur in humans caused by conditions of high blood glucose levels (hyperglycemia). Detection of blood glucose levels can be done using invasive methods (injuring) and non- invasive methods (with infrared rays).
Farah Abqorunnisa +2 more
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Elastic-Net Prefiltering for Two-Class Classification [PDF]
IEEE Transactions on Cybernetics, 2013 A two-stage linear-in-the-parameter model construction algorithm is proposed aimed at noisy two-class classification problems. The purpose of the first stage is to produce a prefiltered signal that is used as the desired output for the second stage which constructs a sparse linear-in-the-parameter classifier.
Xia Hong 0001 +2 more
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Regularization Logistic Regression Models for Hepatitis B Virus Risk Factors in Algeria, 2025
Journal of Preventive, Diagnostic and Treatment Strategies in MedicineBACKGROUND: Hepatitis B virus (HBV) remains a major global health challenge, particularly in high-prevalence regions, where early diagnosis and targeted prevention strategies are essential to reduce disease burden and transmission.
Aoun Mohamed Bachir, Mezoued Fatiha
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Discriminative Elastic-Net Regularized Linear Regression [PDF]
IEEE Transactions on Image Processing, 2017 In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zero-one matrix as the regression targets, which greatly narrows the flexibility of the regression model.
Zheng Zhang 0006 +5 more
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mBio, 2020 Discovery of genetic variants underlying bacterial phenotypes and the prediction of phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics.
John A. Lees +6 more
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