Kernel-based Data Fusion for Machine Learning : Methods and Applications in Bioinformatics and Text Mining
Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2011. |
| Colección: | Studies in Computational Intelligence
345 |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Kernel-based Data Fusion for Machine Learning, Texte imprimé, 9783642194054 • Kernel-based Data Fusion for Machine Learning, Texte imprimé, 9783642267512 • Kernel-based Data Fusion for Machine Learning, Texte imprimé, 9783642194054 • Kernel-based Data Fusion for Machine Learning, Texte imprimé, 9783642194078 |