Application of mixture of experts to construct real estate appraisal models

Abstract

Several experiments were conducted in order to investigate the usefulness of mixture of experts (ME) approach to an online internet system assisting in real estate appraisal. All experiments were performed using 28 real-world datasets composed of data taken from a cadastral system and GIS data derived from a cadastral map. The analysis of the results was performed using recently proposed statistical methodology including nonparametric tests followed by post-hoc procedures designed especially for multiple 1×n and n×n comparisons. GLM (general linear model) architectures of mixture of experts achieved better results for ME with an adaptive variance parameter for each expert, whereas MLP (multilayer perceptron) architectures - for standard mixtures of experts. © 2010 Springer-Verlag.