Name
Title | ||
|---|---|---|
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis |
Abstract | ||
|---|---|---|
Complementarity among classifiers is a crucial aspect in classifier combination. A combined classifier is significantly superior to the individual classifiers only if they strongly complement each other. In this paper a complementarity-based analysis of sets of classifier is proposed for investigating the behaviour of multi-classifier systems, as new classifiers are added to the set. The experimental results confirm the theoretical evidence and allow the prediction of the performance of a multi-classifier system, as the number of classifiers increases. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45869-7_19 | Document Analysis Systems |
Keywords | Field | DocType |
classifier combination,classifiers increase,crucial aspect,complementarity-based analysis,theoretical evidence,combined classifier,multi-classifier system,multi-classifier systems,individual classifier,new classifier | Complementarity (molecular biology),Pattern recognition,Computer science,Random subspace method,Cascading classifiers,If and only if,Artificial intelligence,Classifier (linguistics),Machine learning | Conference |
Volume | ISSN | ISBN |
2423 | 0302-9743 | 3-540-44068-2 |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Bovino | 1 | 18 | 1.59 |
| Giovanni Dimauro | 2 | 190 | 24.09 |
| Sebastiano Impedovo | 3 | 217 | 26.47 |
| Giuseppe Pirlo | 4 | 234 | 34.30 |
| A. Salzo | 5 | 157 | 14.06 |