Publications:Selecting neural networks for making a committee decision
From ISLAB/CAISR
| Title | Selecting neural networks for making a committee decision |
|---|---|
| Author | Antanas Verikas and Arunas Lipnickas and Kerstin Malmqvist |
| Year | 2002 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | ARTIFICIAL NEURAL NETWORKS - ICANN 2002 |
| Conference | 12th International Conference on Artifical Neural Networks (ICANN 2002), AUG 28-30, 2002, MADRID, SPAIN |
| DOI | http://dx.doi.org/10.1007/3-540-46084-5_68 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1195561 |
| Abstract | To improve recognition results, decisions of multiple neural networks can be aggregated into a committee decision. In contrast to the ordinary approach of utilizing all neural networks available to make a committee decision, we propose creating adaptive committees, which are specific for each input data point. A prediction network is used to identify classification neural networks to be fused for making a committee decision about a given input data point. The jth output value of the prediction network expresses the expectation level that the jth classification neural network will make a correct decision about the class label of a given input data point. The effectiveness of the approach is demonstrated on two artificial and three real data sets. |
