Results 51 to 60 of about 4,993,128 (318)
CoRR, 2011 The elastic net was introduced as a heuristic algorithm for combinatorial optimisation and has been applied, among other problems, to biological modelling. It has an energy function which trades off a fitness term against a tension term. In the original formulation of the algorithm the tension term was implicitly based on a first-order derivative.
Miguel Á. Carreira-Perpiñán +1 more
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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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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
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Informatics in Medicine Unlocked, 2021 The removal of irrelevant and insignificant genes has always been a major step in microarray data analysis. The application of gene selection methods in biological datasets has greatly increased, supporting expert systems in cancer diagnostic capability ...
A. M. Alharthi +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
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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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Brain Imaging and Behavior, 2021 Neuroimaging technique is a powerful tool to characterize the abnormality of brain networks in schizophrenia. However, the neurophysiological substrate of schizophrenia is still unclear.
Ying Wu +9 more
semanticscholar +1 more source
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net [PDF]
Journal of Computational And Graphical Statistics, 2021 Elastic net penalization is widely used in high-dimensional prediction and variable selection settings. Auxiliary information on the variables, for example, groups of variables, is often available.
M. V. Nee, T. V. D. Brug, M. V. D. Wiel
semanticscholar +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
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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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