Results 271 to 280 of about 4,993,128 (318)

A Parallel Elastic Net Clustering Algorithm

2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 2018
The elastic net clustering algorithm (ENCA) can typically provide an effective way for classifying non-linearly separable data. However, the computation time it takes will be significantly increased for large datasets. To deal with this issue, a parallel version of the ENCA, built on the Apache Spark framework, called parallel elastic net clustering ...
Tzu-Yi Feng, Chun-Wei Tsai, Ming-Chao Chiang, Chu-Sing Yang   +3 more
openaire   +1 more source

Elastic net orthogonal forward regression

Neurocomputing, 2015
An efficient two-level model identification method aiming at maximising a model׳s generalisation capability is proposed for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level to carry out simultaneous model selection and elastic ...
Xia Hong 0001, Sheng Chen 0001
openaire   +2 more sources

Equilibrium of elastic nets

Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences, 1991
Abstract A general equilibrium theory for nets constructed from two families of perfectly flexible elastic fibres is presented. The fibres are assumed to be continuously distributed and to offer negligible resistance to shear distortion.
D. J. Steigmann, A. C. Pipkin
openaire   +1 more source

Latent Elastic-Net Transfer Learning

IEEE Transactions on Image Processing, 2020
Subspace learning based transfer learning methods commonly find a common subspace where the discrepancy of the source and target domains is reduced. The final classification is also performed in such subspace. However, the minimum discrepancy does not guarantee the best classification performance and thus the common subspace may be not the best ...
Na Han, Jigang Wu, Xiaozhao Fang, Shengli Xie, Shanhua Zhan, Kan Xie, Xuelong Li 0001   +6 more
openaire   +2 more sources

Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net

IEEE Transactions on Control Systems Technology, 2020
Robust process monitoring and reliable fault isolation in industrial processes usually encounter different challenges, including process nonlinearity and noise interference.
Wanke Yu, Chunhui Zhao
semanticscholar   +1 more source

An Enhanced Probabilistic Elastic Net Regression Model (EPERM) for Heart Disease Prediction

2024 International Conference on Future Technologies for Smart Society (ICFTSS)
Heart attack prediction is a significant contributor to worldwide morbidity. Cardiovascular illness is a critical component of clinical data analysis prediction.
V. Selvi, K. Kumar, T. Ganesh Kumar, Anitha Julian, Shajilin Loret, Priti Rishi   +5 more
semanticscholar   +1 more source

The Performance of Ridge Regression, LASSO, and Elastic-Net in Controlling Multicollinearity: A Simulation and Application

Journal of Modern Applied Statistical Methods
This research aims to compare the performance of Ordinary Least Square (OLS), Least Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR) and Elastic-Net in controlling multicollinearity problems between independent variables in ...
Netti Herawati, Ameliana Wijayanti, Agus Sutrisno, Nusyirwan, Misgiyati   +4 more
semanticscholar   +1 more source

A robust elastic net-ℓ 1 ℓ 2 reconstruction method for x-ray luminescence computed tomography

Physics in Medicine and Biology, 2021
Objective. X-ray luminescence computed tomography (XLCT) has played a crucial role in pre-clinical research and effective diagnosis of disease. However, due to the ill-posed of the XLCT inverse problem, the generalization of reconstruction methods and ...
Jingwen Zhao, Hongbo Guo, Jingjing Yu, Huangjian Yi, Yuqing Hou, Xiaowei He   +5 more
semanticscholar   +1 more source

Manifold elastic net for sparse learning

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
In this paper, we present the manifold elastic net (MEN) for sparse variable selection. MEN combines merits of the manifold regularization and the elastic net regularization, so it considers both the nonlinear manifold structure of a dataset and the sparse property of the redundant data representation.
Tianyi Zhou 0001, Dacheng Tao
openaire   +1 more source

A new bearing fault diagnosis method using elastic net transfer learning and LSTM

Journal of Intelligent & Fuzzy Systems, 2021
Although the existing transfer learning method based on deep learning can realize bearing fault diagnosis under variable load working conditions, it is difficult to obtain bearing fault data and the training data of fault diagnosis model is insufficient£¬
Xudong Song, Dajie Zhu, Pan Liang, L. An
semanticscholar   +1 more source