About this document
Multi-Level Risk Factors for Obesity by ieeeprocess is a document available to read on EtoBox.
The paper discusses the prioritization of multi-level obesity risk factors using a multi-task learning (MTL) framework, which allows for the analysis of both population-level and subpopulation-level risk factors. It introduces two models, multi-task feature learning (MTFL) and clustered multi-task learning (CMTL), to effectively capture the unique characteristics of subpopulations while utilizing shared information. Experimental results demonstrate the superiority of these methods in identifying and ranking
- Author
- ieeeprocess
- Language
- EN