Experimental comparison of resampling methods in a multi-agent system to assist with property valuation

Authors:
Tadeusz Lasota;Tomasz Łuczak;Bogdan Trawiński
Affiliations:
Wrocław University of Environmental and Life Sciences, Dept. of Spatial Management, Wroclaw, Poland;Wrocław University of Technology, Institute of Informatics, Wrocław, Poland;Wrocław University of Technology, Institute of Informatics, Wrocław, Poland
Venue:
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Year:
2011

Citing 11
Cited 0

Bagging predictors

Machine Learning
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions

Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Prediction error estimation: a comparison of resampling methods

Bioinformatics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Concept of a Multi-Agent System for Assisting in Real Estate Appraisals

KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles

ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate

The Journal of Machine Learning Research
Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods

Computational Statistics & Data Analysis
A multi-agent system to assist with property valuation using heterogeneous ensembles of fuzzy models

KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new version of the a multi-agent system to aid in real estate appraisal, called MAREA-2, was introduced. The system is being developed using Java Spring Framework and is intended for industrial application in cadastral information centres. The major part of the study was devoted to investigate the performance of Bagging, Subagging, and Repeated cross-validation models. The overall result of our investigation was that the majority of models created using resampling techniques provided better or equivalent accuracy than the experts' method employed in reality. It confirms that automated valuation models can be successfully incorporated into the multi-agent system and be utilized to support appraisers' work.