Results 261 to 270 of about 4,993,128 (318)
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Elastic net-based high dimensional data selection for regression
Expert Systems With ApplicationsHasna Chamlal +2 more
exaly +2 more sources
Solar and wind power generation forecasts using elastic net in time-varying forecast combinations
Applied Energy, 2022Precise renewable energy feed-in forecasts are essential for an effective and efficient integration of renewables into energy systems, and research contributions that help to reduce the uncertainty related to renewables are in high demand.
Dragana Nikodinoska +2 more
semanticscholar +1 more source
Isprs Journal of Photogrammetry and Remote Sensing, 2021
Wetland contains various ground objects with high spectral similarity. How to accurately distinguish complex classes has become a challenge in wetland land cover classification.
H. Su +4 more
semanticscholar +1 more source
Wetland contains various ground objects with high spectral similarity. How to accurately distinguish complex classes has become a challenge in wetland land cover classification.
H. Su +4 more
semanticscholar +1 more source
IEEE transactions on fuzzy systems, 2021
Fuzzy cognitive maps (FCMs) have been successfully applied to time series forecasting. However, it still remains challenging to handle multivariate long nonstationary time series, such as EEG data, which may change rapidly and have patterns of trend.
Fang Shen, Jing Liu, Kai Wu
semanticscholar +1 more source
Fuzzy cognitive maps (FCMs) have been successfully applied to time series forecasting. However, it still remains challenging to handle multivariate long nonstationary time series, such as EEG data, which may change rapidly and have patterns of trend.
Fang Shen, Jing Liu, Kai Wu
semanticscholar +1 more source
The Bayesian elastic net regression
Communications in Statistics - Simulation and Computation, 2017A Bayesian elastic net approach is presented for variable selection and coefficient estimation in linear regression models.
Rahim Alhamzawi +1 more
openaire +1 more source
Universality of the elastic net error
2017 IEEE International Symposium on Information Theory (ISIT), 2017We consider the problem of reconstructing a vector x 0 ∊ Rn from noisy linear observations y = Ax o + w, where A ∊ Rm×n is a known operator and w is a noise vector, using the elastic net method. Assuming that A is random with independent and identically distributed entries, and under suitable moment conditions, we prove the following universality ...
Andrea Montanari, Phan-Minh Nguyen
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Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality
IEEE Transactions on Neural Networks and Learning Systems, 2021Twin support vector machine (TWSVM), which constructs two nonparallel classifying hyperplanes, is widely applied to various fields. However, TWSVM solves two quadratic programming problems (QPPs) separately such that the final classifiers lack ...
Kai Qi, Hu Yang
semanticscholar +1 more source
Biomedical Signal Processing and Control, 2021
Accurate prediction of high-risk group who may convert to Alzheimer ’ s disease (AD) patients is critical for the future treatment of patients. Recently, logistic regression is used for the early diagnosis of AD.
Ruyi Xiao +6 more
semanticscholar +1 more source
Accurate prediction of high-risk group who may convert to Alzheimer ’ s disease (AD) patients is critical for the future treatment of patients. Recently, logistic regression is used for the early diagnosis of AD.
Ruyi Xiao +6 more
semanticscholar +1 more source
Sparse elastic net multi-label rank support vector machine with pinball loss and its applications
Applied Soft Computing, 2021Multi-label rank support vector machine (RankSVM) is an effective technique to deal with multi-label classification problems, which has been widely used in various fields. However, it is sensitive to noise points and can not delete redundant features for
Hongmei Wang, Yitian Xu
semanticscholar +1 more source
, 2021
The modern revolutionary changes in power delivery systems with the advent of smart and flexible grids require systems interoperability, seamless integration of technologies and functionalities.
A. Rosato +4 more
semanticscholar +1 more source
The modern revolutionary changes in power delivery systems with the advent of smart and flexible grids require systems interoperability, seamless integration of technologies and functionalities.
A. Rosato +4 more
semanticscholar +1 more source