An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing

An Extended Semi-Supervised Regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing

This paper proposes an extended semi-supervised regression approach to enhance the prediction accuracy of housing prices within the geographical information science field. The method, referred to as co-training geographical weighted regression (COGWR), aims to fully utilize the positive aspects of b...

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Bibliographic Details
Main Authors: Yi Yang, Jiping Liu, Shenghua Xu, Yangyang Zhao
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
semi-supervised regression
geographical weighted regression
spatial nonstationarity
housing prices
Online Access:http://www.mdpi.com/2220-9964/5/1/4

Internet

http://www.mdpi.com/2220-9964/5/1/4

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