Name
Abstract | ||
|---|---|---|
It is well known that the use of ensemble systems usually increases the accuracy rate of individual machine learning systems. A way of improving the accuracy of these systems even further is through the use of weight measures. This paper analyzes the influence of the use of static and dynamic weights in the accuracy of two structures (homogeneous and heterogeneous) of ensemble systems. Furthermore, it investigates the relation between diversity and the use weights in ensemble system. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/SBRN.2008.35 | SBRN |
Keywords | Field | DocType |
stacking,databases,proteins,learning artificial intelligence,classification algorithms,accuracy,testing,machine learning | Pattern recognition,Homogeneous,Computer science,Ensemble systems,Artificial intelligence,Statistical classification,Ensemble learning,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raul B. Paradeda | 1 | 2 | 1.06 |
| João Carlos Xavier Jr. | 2 | 13 | 2.76 |
| Anne M. P. Canuto | 3 | 392 | 46.33 |