Decision trees using local support vector regression models for large datasets

Decision trees using local support vector regression models for large datasets

Our proposed decision trees using local support vector regression models (tSVR, rtSVR) aim to efficiently handle the regression task for large datasets. The learning algorithm tSVR of regression models is done by two main steps. The first one is to construct a decision tree regressor for partitionin...

Full description

Bibliographic Details
Main Authors: Minh-Thu Tran-Nguyen, Le-Diem Bui, Thanh-Nghi Do
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Information and Telecommunication
Subjects:
support vector regression (svr)
decision tree
local support vector regression (local svr)
ensemble learning
large datasets
Online Access:http://dx.doi.org/10.1080/24751839.2019.1686682

Internet

http://dx.doi.org/10.1080/24751839.2019.1686682

Similar Items