Name
Abstract | ||
|---|---|---|
The multi-agent system for real estate appraisals MAREA was extended to include aggregating agents, which could create ensemble models applying the bagging approach, was presented in the paper. The major part of the study was devoted to investigate to what extent bagging approach could lead to the improvement of the accuracy machine learning regression models. Four algorithms implemented in the KEEL tool, including linear regression, decision trees for regression, support vector machines, and artificial neural network of MLP type, were used in the experiments. The results showed that bagging ensembles ensured higher prediction accuracy than single models. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04441-0_71 | ICCCI |
Keywords | Field | DocType |
higher prediction accuracy,keel tool,bagging approach,regression model,mlp type,artificial neural network,bagging ensembles,bagging ensemble,linear regression,multi-agent system,real estate,aggregating agent,accuracy machine,machine learning,support vector machine,multi agent system,decision tree | Decision tree,Data mining,Ensemble forecasting,Regression analysis,Computer science,Support vector machine,Multi-agent system,Bootstrap aggregating,Artificial intelligence,Artificial neural network,Machine learning,Linear regression | Conference |
Volume | ISSN | Citations |
5796 | 0302-9743 | 12 |
PageRank | References | Authors |
0.52 | 28 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadeusz Lasota | 1 | 348 | 25.33 |
| Zbigniew Telec | 2 | 170 | 14.92 |
| Bogdan Trawiński | 3 | 288 | 24.72 |
| Krzysztof Trawiński | 4 | 247 | 16.06 |