Results 71 to 80 of about 756,305 (328)

Analysis of Choice Behaviors of Railway Shippers for Freight Services Based on a Fuzzy Integrated Choice and Latent Variable Model

IEEE Access, 2020
The existing schemes show that the application of an Integrated Choice and Latent Variable (ICLV) model in choice behaviors of railway shippers in freight services provided by China Railway Express (CRE) and private logistics enterprises (PLEs) is a ...
Yun Jing, Wanglin Xu, Siye Guo, Yingjin Zhang   +3 more
doaj   +1 more source

Meta Reinforcement Learning with Latent Variable Gaussian Processes [PDF]

, 2018
Learning from small data sets is critical in many practical applications where data collection is time consuming or expensive, e.g., robotics, animal experiments or drug design.
Deisenroth, Marc Peter, Hofmann, Katja, Sæmundsson, Steindór   +2 more
core   +2 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

Missing Data in Regression Models for Non-Commensurate Multiple Outcomes

Revstat Statistical Journal, 2011
Biomedical research often involves the measurement of multiple outcomes in different scales (continuous, binary and ordinal). A common approach for the analysis of such data is to ignore the potential correlation among the outcomes and model each ...
Armando Teixeira-Pinto , Sharon-Lise Normand   +1 more
doaj   +1 more source

The Tale of the Residual Tail: Insights From Continuous Intracranial Monitoring From Post‐Hippocampectomy Dynamics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Subtotal hippocampal resection can leave residual hippocampal tissue, yet the immediate postoperative electrophysiologic evolution of such remnants is unknown. We describe a patient with drug‐resistant temporal lobe epilepsy in whom a hippocampal remnant was continuously monitored using a responsive neurostimulator (RNS) following subtotal ...
Patrick Hartnett, Syeda Amrah Hashmi, Amaan Qureshi, Heather Spader, Shayan Moosa, Ifrah Zawar   +5 more
wiley   +1 more source

Learning Informative Representations of Biomedical Relations with Latent Variable Models [PDF]

, 2020
Harshil Shah, Julien Fauqueur
openalex   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Quantum-Inspired Latent Variable Modeling in Multivariate Analysis

Stats
Latent variables play a crucial role in psychometric research, yet traditional models often struggle to address context-dependent effects, ambivalent states, and non-commutative measurement processes.
Theodoros Kyriazos, Mary Poga
doaj   +1 more source

Item response theory in the production of indicators of socioeconomic metropolitan region of Maringá, Paraná State, Brazil - doi: 10.4025/actascitechnol.v34i4.10478

Acta Scientiarum: Technology, 2012
This study aimed to identify and produce through models of Item Response Theory (IRT) a socio-economic indicator based in the items observed in 2000 Census, following the methodology by Soares (2005).
Vanessa Rufino da Silva, Isolde Terezinha Santos Previdelli   +1 more
doaj   +1 more source

Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing

IEEE Access, 2020
Image inpainting seeks to fill in corrupted areas with pixels that have a similar texture and content with its surroundings. For high-structured data, e.g., human face, some recent works can achieve quite realistic results.
Hao Xiong, Chaoyue Wang, Xinchao Wang, Dacheng Tao   +3 more
doaj   +1 more source