Results 121 to 130 of about 57,263 (295)
Wilcoxon-type multivariate cluster elastic net
NeurocomputingWe propose a method for high dimensional multivariate regression that is robust to random error distributions that are heavy-tailed or contain outliers, while preserving estimation accuracy in normal random error distributions. We extend the Wilcoxon-type regression to a multivariate regression model as a tuning-free approach to robustness. Furthermore,
Mayu Hiraishi +2 more
openaire +2 more sources
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Regression Shrinkage and Selection via the Elastic Net, With . . . [PDF]
, 2003 We propose the elastic net, a new regression shrinkage and selection method. Real data and a simulation study show that the elastic net often outperforms the lasso, while it enjoys a similar sparsity of representation.
Hui Zou, Trevor Hastie
core
Shows results produced by the elastic net model. [PDF]
, 2019 Shows results produced by the elastic net model.
Dosti K. Abbas (6519332) +2 more
core +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Multimodal radiomics fusion for predicting postoperative recurrence in NSCLC patients
Journal of Cancer Research and Clinical OncologyPurpose Postoperative recurrence in non-small cell lung cancer (NSCLC) affects up to 55% of patients, underscoring limits of TNM staging.
Ghazal Mehri-kakavand +3 more
doaj +1 more source
Heteroscedastic Double Bayesian Elastic Net
CoRRIn many practical applications, regression models are employed to uncover relationships between predictors and a response variable, yet the common assumption of constant error variance is frequently violated. This issue is further compounded in high-dimensional settings where the number of predictors exceeds the sample size, necessitating ...
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Elastic net classification results (standard errors in parentheses). [PDF]
, 2019 Elastic net classification results (standard errors in parentheses).
Tatsiana Khamiakova (2504323) +4 more
core +1 more source