| Download | - View accepted manuscript: Algorithme d'apprentissage pour inférer les paramètres de proaftn (PDF, 548 KiB)
|
|---|
| Author | Search for: Benabbou, L.; Search for: Guitouni, A.; Search for: Belacel, N. |
|---|
| Format | Text, Article |
|---|
| Conference | Administrative Sciences Association of Canada Conference 2004 (ASAC 2004), June 5-8, 2004, Québec City, Québec, Canada |
|---|
| Abstract | PROAFTN is a multicriteria classification method that makes it possible to directly assign potential actions to different classes. In this work, we suggest a training algorithm that can be used to automatically adjust the parameters of the method. This algorithm utilizes local search and meta-heuristic tools to minimize the difference between the classification results obtained by the PROAFTN method and the a priori results in the training set. |
|---|
| Publication date | 2004 |
|---|
| In | |
|---|
| Language | French |
|---|
| NRC number | CNRC 47128 |
|---|
| NPARC number | 9146107 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 4714c65a-9bfc-4a53-9055-7f14ec39cb0e |
|---|
| Record created | 2009-06-25 |
|---|
| Record modified | 2021-01-05 |
|---|
