Inductive inference for large scale text classification : Kernel approaches and techniques
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the wide...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2010.
Cham : Springer Nature |
| Σειρά: | Studies in Computational Intelligence
255 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Inductive Inference for Large Scale Text Classification, Texte imprimé, 9783642045325 • Inductive Inference for Large Scale Text Classification, Texte imprimé, 9783642045363 • Inductive Inference for Large Scale Text Classification, Texte imprimé, 9783642261343 |
Πίνακας περιεχομένων:
- Fundamentals
- Background on Text Classification
- Kernel Machines for Text Classification
- Approaches and techniques
- Enhancing SVMs for Text Classification
- Scaling RVMs for Text Classification
- Distributing Text Classification in Grid Environments
- Framework for Text Classification.