Frontiers

Development of predictive charts for landslide runout based on Monte Carlo simulation and support vector regression

Horizontal runout distance prediction of potential landslides is of great significance in hazard mitigation.In this study, predictive charts of landslide horizontal runout distance were developed ...
IEEE

Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students’ Academic Performance

Abstract: This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students’ academic performance in schools.
C&EN

Predicting the Properties of IL-Solvent Electrolytes Using a Hybrid Support Vector Classification and Gradient Boosting Regression (SVC-GBR) Framework

Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...
IEEE

Sea Ice Thickness Inversion Based on Support Vector Regression for FengYun-3E IDW Data

Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...
C&EN

Tile-Based Fisher Ratio Analysis with Support Vector Machine Regression Modeling of GC×GC-TOFMS Data of VOCs Produced by Malassezia pachydermatis Grown at Variable pHs

Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States ...
today.ucsd

New Diagnostic Code for Gulf War Illness Marks Major Step Forward for Veteran Care and Research

Gulf War Illness affects an estimated one-fourth to one-third of the nearly 700,000 U.S. troops deployed to the Gulf War. Photo credit: iStock/Rawpixel Gulf War illness (GWI), the chronic, ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...