Abstract
Several experiments were conducted in order to investigate the usefulness of mixture of experts approach to an online internet system assisting in real estate appraisal. All experiments were performed using real-world datasets taken from a cadastral system. The analysis of the results was performed using statistical methodology including nonparametric tests followed by post-hoc procedures designed especially for multiple 1×N and N×N comparisons. The mixture of experts architectures studied in the paper comprised: four algorithms used as expert networks: glm – general linear model, mlp – multilayer perceptron and two support vector regression ε-SVR and ν-SVR as well as and three algorithms glm, mlp, and gmm – gaussian mixture model employed as gating networks.
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Lasota, T., Londzin, B., Trawiński, B., Telec, Z. (2013). Investigation of Mixture of Experts Applied to Residential Premises Valuation. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_24
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