Results 121 to 130 of about 28,744 (310)
Robust Detection of Impaired Resting State Functional Connectivity Networks in Alzheimer's Disease Using Elastic Net Regularized Regression [PDF]
, 2017 Stefan Teipel +11 more
openalex +1 more source
The Role of Business R&D in Environmental Sustainability: Evidence From the Nordic Countries
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT As environmental sustainability becomes an increasingly important concern for advanced economies, the role of business innovation in relation to environmental outcomes has attracted increasing attention. This study examines the relationship between business enterprise research and development (BERD) and environmental sustainability in the ...
Abdullah Emre Caglar +2 more
wiley +1 more source
Regularization for Electricity Price Forecasting [PDF]
Operations Research and DecisionsThe most commonly used form of regularization typically involves defining the penalty function as a ℓ1 or ℓ2 norm. However, numerous alternative approaches remain untested in practical applications. In this study, we apply ten different penalty functions
Bartosz Uniejewski
doaj
Contributions to Plasma Physics, EarlyView.ABSTRACT The properties of plasmas in the low‐density limit are described by virial expansions. Analytical expressions are known for the lowest virial coefficients from Green's function approaches. Recently, accurate path‐integral Monte Carlo (PIMC) simulations were performed for the hydrogen plasma at low densities by Filinov and Bonitz (Phys. Rev.
Gerd Röpke +3 more
wiley +1 more source
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization
Journal of Complexity, 2011 Recent approaches of supervised learning use tools which have been developed in the theory and practice of inverse problems. They all exploit penalized least squares methods partly under additional constraints. The new paper analyzes an iterative algorithm suggested by \textit{V.~Umanità} and \textit{S.~Villa} [``Elastic-net regularization: iterative ...
DE VITO, ERNESTO +2 more
openaire +2 more sources
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
An Improved Regularization Stochastic Configuration Network for Robust Wind Speed Prediction
EnergiesTo address the limitations of Stochastic Configured Networks (SCNs) in wind speed prediction, specifically insufficient regularization capability and a high risk of overfitting, this paper proposes a novel Regularized Stochastic Configured Network (RSCN).
Fuguo Jin +3 more
doaj +1 more source
Elastic-net regularization for nonlinear electrical impedance tomography with a splitting approach [PDF]
, 2017 Jing Wang, Bo Han, Wei Wang
openalex +1 more source
Ecography, EarlyView.The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile +44 more
wiley +1 more source