Results 21 to 30 of about 4,818,434 (320)
Application of Elastic Net Regression for Modeling COVID-19 Sociodemographic Risk Factors
Objectives: COVID-19 has been at the forefront of global concern since its emergence in December of 2019. Determining the social factors that drive case incidence is paramount to mitigating disease spread.
Moxley TA +4 more
europepmc +2 more sources
In this paper we propose an iteratively reweighted adaptive elastic net estimation method for conditional heteroscedastic time series models. The sign consistency and the asymptotic normality of the estimator are investigated.
Yuanyuan Liao , Lihong Wang
doaj +1 more source
In the data-driven era, the mining of financial asset information and the selection of appropriate assets are crucial for stable returns and risk control.
Yumei Ren +3 more
doaj +1 more source
In this work, we intersect data on size‐selected particulate matter (PM) with vehicular traffic counts and a comprehensive set of meteorological covariates to study the effect of traffic on air quality.
M. Ranalli +3 more
semanticscholar +1 more source
In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar +3 more
semanticscholar +1 more source
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net. [PDF]
Elastic net penalization is widely used in high-dimensional prediction and variable selection settings. Auxiliary information on the variables, for example, groups of variables, is often available.
van Nee MM +2 more
europepmc +3 more sources
Predicting cancer drug TARGETS - TreAtment Response Generalized Elastic-neT Signatures. [PDF]
We are now in an era of molecular medicine, where specific DNA alterations can be used to identify patients who will respond to specific drugs. However, there are only a handful of clinically used predictive biomarkers in oncology. Herein, we describe an
Rydzewski NR +18 more
europepmc +2 more sources
A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
The elastic net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penalized maximum likelihood.
Juan Carlos Laria +3 more
doaj +1 more source
Elasticity and Petri Nets [PDF]
Digital electronic systems typically use synchronous clocks and primarily assume fixed duration of their operations to simplify the design process. Time elastic systems can be constructed either by replacing the clock with communication handshakes (asynchronous version) or by augmenting the clock with a synchronous version of a handshake (synchronous ...
Cortadella, Jordi +4 more
openaire +3 more sources
Optimal surface clothing with elastic nets
The clothing problem aims at identifying the shape of a planar fabric for covering a target surface in the three-dimensional space. It poses significant challenges in various applications, ranging from fashion industry to digital manufacturing. Here, we propose a novel inverse design approach to the elastic clothing problem that is formulated as a ...
D. Andrini, M. Magri, P. Ciarletta
openaire +1 more source

