Results 1 to 10 of about 185,199 (284)
Densely Connected Neural Networks for Nonlinear Regression [PDF]
Entropy, 2022 Densely connected convolutional networks (DenseNet) behave well in image processing. However, for regression tasks, convolutional DenseNet may lose essential information from independent input features.
Chao Jiang +3 more
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Deep Residual Learning for Nonlinear Regression [PDF]
Entropy, 2020 Deep learning plays a key role in the recent developments of machine learning. This paper develops a deep residual neural network (ResNet) for the regression of nonlinear functions.
Dongwei Chen +3 more
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Spiking neural networks for nonlinear regression [PDF]
Royal Society Open ScienceSpiking neural networks (SNN), also often referred to as the third generation of neural networks, carry the potential for a massive reduction in memory and energy consumption over traditional, second-generation neural networks. Inspired by the undisputed
Alexander Henkes +2 more
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On Nonlinear Regression for Trends in Split-Belt Treadmill Training [PDF]
Brain Sciences, 2020 Single and double exponential models fitted to step length symmetry series are used to evaluate the timecourse of adaptation and de-adaptation in instrumented split-belt treadmill tasks.
Usman Rashid +4 more
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Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression
IEEE Access, 2021 This paper proposes Maximal Associated Regression (MAR), a novel algorithm that performs forward stage-wise regression by applying nonlinear transformations to fit predictor covariates.
Sanush K. Abeysekera +3 more
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, 2023 Nonlinear regression analysis is a popular and important tool for scientists and engineers. In this article, we introduce theories and methods of nonlinear regression and its statistical inferences using the frequentist and Bayesian statistical modeling and computation.
Huang, Hsin-Hsiung, He, Qing
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Bioengineering, 2023 Photoplethysmography (PPG) signals are widely used in clinical practice as a diagnostic tool since PPG is noninvasive and inexpensive. In this article, machine learning techniques were used to improve the performance of classifiers for the detection of ...
Sivamani Palanisamy, Harikumar Rajaguru
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Adaptive Robust Regression by Using a Nonlinear Regression Program
Journal of Statistical Software, 1999 Robust regression procedures have considerable attention in mathematical statistics literature. They, however, have not received nearly as much attention by practitioners performing data analysis.
Mortaza Jamshidian
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The Degradation Behavior of LiFePO4/C Batteries during Long-Term Calendar Aging
Energies, 2021 With widespread applications for lithium-ion batteries in energy storage systems, the performance degradation of the battery attracts more and more attention.
Xin Sui +3 more
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Validation and Improvement of COCTS/HY-1C Sea Surface Temperature Products
Sensors, 2022 In oceanographic study, satellite-based sea surface temperature (SST) retrieval has always been the focus of researchers. This paper investigates several multi-channel SST retrieval algorithms for the thermal infrared band, and evaluates the accuracy of ...
Feizhou Zhang +3 more
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