Rule Extraction from Support Vector Machines
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost an inherent inability to explain in a comprehe...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2008. |
| Saila: | Studies in Computational Intelligence
80 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Rule Extraction from Support Vector Machines, Texte imprimé, 9783642094637 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540844518 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540753896 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783642094637 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540844518 • Rule Extraction from Support Vector Machines, Texte imprimé, 9783540753896 |
Aurkibidea:
- Rule Extraction from Support Vector Machines: An Introduction Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring Algorithms and Techniques Rule Extraction for Transfer Learning Rule Extraction from Linear Support Vector Machines via Mathematical Programming Rule Extraction Based on Support and Prototype Vectors SVMT-Rule: Association Rule Mining Over SVM Classification Trees Prototype Rules from SVM Applications Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction Rule Extraction from SVM for Protein Structure Prediction.