Name
Title | ||
|---|---|---|
Evolving multi-label classification rules with gene expression programming: a preliminary study |
Abstract | ||
|---|---|---|
The present work expounds a preliminary work of a genetic programming algorithm to deal with multi-label classification problems The algorithm uses Gene Expression Programming and codifies a classification rule into each individual A niching technique assures diversity in the population The final classifier is made up by a set of rules for each label that determines if a pattern belongs or not to the label The proposal have been tested over several domains and compared with other multi-label algorithms and the results shows that it is specially suitable to handle with nominal data sets. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13803-4_2 | HAIS (2) |
Keywords | Field | DocType |
final classifier,gene expression programming,multi-label classification problem,preliminary work,present work,preliminary study,multi-label algorithm,nominal data set,multi-label classification rule,genetic programming algorithm,niching technique,classification rule | Population,Gene expression programming,Data set,Classification rule,Pattern recognition,Computer science,Genetic programming,Multi-label classification,Artificial intelligence,Classifier (linguistics),Binary expression tree,Machine learning | Conference |
Volume | ISSN | ISBN |
6077 | 0302-9743 | 3-642-13802-0 |
Citations | PageRank | References |
2 | 0.36 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Luis Ávila-Jiménez | 1 | 8 | 1.11 |
| Eva Gibaja | 2 | 51 | 5.50 |
| S. Ventura | 3 | 2318 | 158.44 |