| Title |
Adaptive committees of neural classifiers / |
| Another Title |
Adaptyvūs neuroninių klasifikatorių komitetai. |
| Authors |
Lipnickas, Arūnas |
| Full Text |
|
| Is Part of |
Informacinės technologijos ir valdymas = Information technology and control.. Kaunas : Technologija. 2008, t. 37, Nr. 3, p. 205-210.. ISSN 1392-124X |
| Keywords [eng] |
Adaptive committees ; Aggregation ; Neural networks ; Half&half sampling |
| Abstract [eng] |
It is obvious that combination of several classifiers might improve overall classification performance. In this paper, on the contrary to the ordinary approach of utilising all neural networks available to make the committee decision, we propose to create adaptive committees, which are specific for each input data point. A prediction neural network is used to identify classifiers to be fused for making a committee decision about the given input data. The proposed technique is tested in three aggregation schemes and the effectiveness of the approach is demonstrated on the three real data sets. |
| Published |
Kaunas : Technologija |
| Type |
Journal article |
| Language |
English |
| Publication date |
2008 |
| CC license |
|
