Imbalanced learning : foundations, algorithms, and applications
Guardat en:
| Altres autors: | , |
|---|---|
| Format: | Livre papier |
| Idioma: | Anglais |
| Matèries: | |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Imbalanced learning, foundations, algorithms, and applications, edited by Haibo He, Yunqian Ma, 2013, [Hoboken (N.J.)], Wiley, IEEE Press, 978-1-1186-4610-6 |
Taula de continguts:
- Introduction / Haibo He Foundations of imabalnced learning / Gary M. Weiss Imbalanced datasets : from sampling to classifiers / T. Ryan Hoens, Nitesh V. Chawla Ensemble methods for class imbalance learning / Xu-Ying Liu, Zhi-Hua Zhou Class imbalance learning methods for support vector machines / Rukshan Batuwita, Vasile Palade Class imabalance and active learning / Josh Attenberg, —Seyda Ertekin Nonstationary stream data learning with imbalanced class distribution / Sheng Chen, Haibo He Assessment metrics for imbalanced learning / Nathalie Japkowicz