Results 111 to 120 of about 109,915 (302)
Analyzing clustered continuous response variables with ordinal regression models. [PDF]
Biometrics, 2023 Tian Y +4 more
europepmc +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
Advanced Intelligent Systems, EarlyView.This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Probabilistic least squares approach to ordinal regression
, 2012 This paper proposes a novel approach to solve the ordinal regression problem using Gaussian processes. The proposed approach, probabilistic least squares ordinal regression (PLSOR), obtains the probability distribution over ordinal labels using a ...
P. K. Srijith +5 more
core +1 more source
Advanced Intelligent Systems, EarlyView.A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Regression and Decomposition with Ordinal Health Outcomes
Journal of Health EconomicsAlthough ordinal health outcome values are categories like "poor" health or "moderate" depression, they are often assigned values 1,2,3,… for convenience. We provide results on interpretation of subsequent analysis based on ordinary least squares (OLS) regression.
Qian Wu, David M. Kaplan
openaire +2 more sources
Ordinal regression by extended binary classification [PDF]
, 2007 We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework consists of three steps: extracting extended examples from the original examples, learning a binary classifier on the extended ...
Lin, Hsuan-Tien +3 more
core
Cumulative Antigen Suppression Reduces Clonal Plasma Cell Evolution in Gaucher Disease
American Journal of Hematology, EarlyView.ABSTRACT Chronic antigenic stimulation is implicated in the pathogenesis of monoclonal gammopathy and multiple myeloma, yet longitudinal human evidence linking sustained antigen exposure to modifiable clonal plasma cell evolution remains limited. Gaucher disease (GD), caused by biallelic GBA1 pathogenic variants, is characterized by accumulation of ...
Noor Ul Ain +10 more
wiley +1 more source
An application of ordinal regression to extract social dysfunction levels through behavioral problems. [PDF]
AIMS Public Health, 2023 Sabharwal A, Goyal B, Joshi LM.
europepmc +1 more source
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Congenital heart disease (CHD) and dermatologic conditions such as lymphedema and acquired melanocytic nevi (AMN) are common in Turner Syndrome (TS). We hypothesized that abnormalities of cranial neural crest cell derivatives drive the skin and heart manifestations of TS. We conducted joint cardiac and skin examinations of volunteers at a 2023
Sarah Elsaim +8 more
wiley +1 more source
Ordinal regression based on data relationship
, 2019 Ordinal regression is a supervised learning problem which aims to classify instances into ordinal categories. It is different from multi-class classification because there is an ordinal relationship between the categories.
Liu, Yanzhu
core +1 more source