Results 51 to 60 of about 4,818,434 (320)
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction [PDF]
, 2010 It is difficult to find the optimal sparse solution of a manifold learning based dimensionality reduction algorithm. The lasso or the elastic net penalized manifold learning based dimensionality reduction is not directly a lasso penalized least square ...
A D’aspremont +40 more
core +1 more source
Variable selection and regularization via arbitrary rectangle-range generalized elastic net [PDF]
Statistics and computing, 2021 We introduce the arbitrary rectangle-range generalized elastic net penalty method, abbreviated to ARGEN, for performing constrained variable selection and regularization in high-dimensional sparse linear models.
Yujia Ding +3 more
semanticscholar +1 more source
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
doaj +1 more source
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography
IEEE Transactions on Medical Imaging, 2021 Fluorescence molecular tomography (FMT) is a new type of medical imaging technology that can quantitatively reconstruct the three-dimensional distribution of fluorescent probes in vivo.
Hanfan Wang +5 more
semanticscholar +1 more source
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
doaj +1 more source
Spatially regularized estimation for the analysis of DCE-MRI data [PDF]
, 2012 Competing compartment models of different complexities have been used for the quantitative analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging data.
Gertheiss, Jan +2 more
core +2 more sources
International journal of mathematical, engineering and management sciences, 2021 Elastic net (ELNET) regression is a hybrid statistical technique used for regularizing and selecting necessary predictor variables that have a strong effect on the response variable and deal with multicollinearity problem when it exists between the ...
Abdullah S. Al-Jawarneh +2 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Bayesian Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Qing, Lin, Nan
openaire +2 more sources