Results 111 to 120 of about 137,972 (308)
Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models [PDF]
, 2012 We consider varying-coefficient models with categorial effect modifiers in the framework of generalized linear models. We distinguish between nominal and ordinal effect modifiers, and propose adequate Lasso-type regularization techniques that allow for ...
Gertheiss, Jan +2 more
core +1 more source
Biomechanical Analysis of Abductor Pollicis Longus Lasso Suspensionplasty for Trapeziectomy
, 2022 Purpose: Multiple methods of ligament reconstruction and tendon interposition (LRTI) or suspension have been described to prevent first metacarpal subsidence following trapeziectomy.
Lawson, R +3 more
core +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
Advanced Science, EarlyView.A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Development of a Nomogram for Predicting Massive Necrotizing Pneumonia in Children
Infection and Drug Resistance, 2023 Yonghan Luo, Yanchun Wang Second Department of Infectious Disease, Kunming Children’s Hospital, Kunming, Yunnan, People’s Republic of ChinaCorrespondence: Yanchun Wang, Second Department of Infectious Disease, Kunming Children’s Hospital, Kunming, Yunnan,
Luo Y, Wang Y
doaj
Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Journal of Inflammation Research, 2023 Hongshuo Shi, Xin Yuan, Guobin Liu, Weijing Fan Department of Peripheral Vascular Surgery, Institute of Surgery of Traditional Chinese Medicine, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, People’s ...
Shi H, Yuan X, Liu G, Fan W
doaj
Quality and Reliability Engineering International, 2016 With many predictors in regression, fitting the full model can induce multicollinearity problems. Least Absolute Shrinkage and Selection Operation (LASSO) is useful when the effects of many explanatory variables are sparse in a high‐dimensional dataset.
Dae-Heung Jang +1 more
openaire +2 more sources
The LASSO estimator: Distributional properties [PDF]
, 2018 summary:The least absolute shrinkage and selection operator (LASSO) is a popular technique for simultaneous estimation and model selection. There have been a lot of studies on the large sample asymptotic distributional properties of the LASSO estimator ...
Upadhye, Neelesh S. +2 more
core +1 more source
Advanced Science, EarlyView.This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
Subluxation: The Mother of Innovation: A Literature Review
Delhi Journal of OphthalmologyPartial displacement of the lens from its normal anatomical position, while remaining within the pupillary area, is called subluxation. It can be spontaneous, or can be caused due to certain heritable diseases, trauma and during surgery.
Nupur Raina +3 more
doaj +1 more source