Shifting-corrected regularized regression for 1H NMR metabolomics identification and quantification.
Sign Up to like & getrecommendations! Published in 2022 at "Biostatistics"
DOI: 10.1093/biostatistics/kxac015
Abstract: The process of identifying and quantifying metabolites in complex mixtures plays a critical role in metabolomics studies to obtain an informative interpretation of underlying biological processes. Manual approaches are time-consuming and heavily reliant on the… read more here.
Keywords: corrected regularized; shifting corrected; method; regularized regression ... See more keywords
Learning With Coefficient-Based Regularized Regression on Markov Resampling
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2757140
Abstract: Big data research has become a globally hot topic in recent years. One of the core problems in big data learning is how to extract effective information from the huge data. In this paper, we… read more here.
Keywords: regression; coefficient based; based regularized; regularized regression ... See more keywords
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2802469
Abstract: This paper considers a least square regularized regression algorithm for multi-task learning in a union of reproducing kernel Hilbert spaces (RKHSs) with Gaussian kernels. It is assumed that the optimal prediction function of the target… read more here.
Keywords: multi task; task; target task; task learning ... See more keywords
Statistical Seasonal Prediction Based on Regularized Regression
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DOI: 10.1175/jcli-d-16-0249.1
Abstract: AbstractThis paper proposes a regularized regression procedure for finding a predictive relation between one variable and a field of other variables. The procedure estimates a linear prediction model under the constraint that the regression coefficients… read more here.
Keywords: seasonal prediction; regression; statistical seasonal; prediction based ... See more keywords
Adjusting the penalized term for the regularized regression models
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Animal Science"
DOI: 10.16929/as/1609.124
Abstract: More attention has been given to regularization methods in the last two decades as a result of exiting high-dimensional ill-posed data. This paper proposes a new method of introducing the penalized term in regularized regression.… read more here.
Keywords: term regularized; regression; adjusting penalized; penalized term ... See more keywords