Results 71 to 80 of about 3,472,659 (303)
On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
Risks, 2018 We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM).
Tatjana Miljkovic +1 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Beyond the Howl: An Acoustic Framework for Wolf Monitoring and Pack-Composition Inference
EcologiesEffective wolf monitoring is more critical than ever for supporting robust population estimates, identifying breeding packs, and anticipating and mitigating attacks on livestock.
Pietro Orlando +3 more
doaj +1 more source
CoRRWidely used deep latent variable models (DLVMs), in particular Variational Autoencoders (VAEs), employ overly simplistic priors on the latent space. To achieve strong clustering performance, existing methods that replace the standard normal prior with a Gaussian mixture model (GMM) require defining the number of clusters to be close to the number of ...
Andrew Stirn, David A. Knowles
openaire +4 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
A region based approach to background modeling in a wavelet multi-resolution framework [PDF]
, 2011 In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing very significant limitations, are extensively used. In this work we propose
Salgado Álvarez de Sotomayor, Luis +1 more
core +1 more source
Modeling Faking in the MFC Format: The Faking Mixture Model
, 2021 This project contains the code and data used in "Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model"
Susanne Frick
core +3 more sources
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
On modeling locus heterogeneity using mixture distributions
BMC Genetics, 2004 Background Locus heterogeneity poses a major difficulty in mapping genes that influence complex genetic traits. A widely used approach to deal with this problem involves modeling linkage data in terms of finite mixture distributions.
Biswas Swati, Lin Shili
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source