Ensembles in machine learning applications
This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2011. |
| سلاسل: | Studies in Computational Intelligence
373 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Ensembles in Machine Learning Applications, Texte imprimé, 9783642229091 • Ensembles in Machine Learning Applications, Texte imprimé, 9783642229091 • Ensembles in Machine Learning Applications, Texte imprimé, 9783642229114 • Ensembles in Machine Learning Applications, Texte imprimé, 9783662507063 |
جدول المحتويات:
- From the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers On the Design of Low Redundancy Error-Correcting Output Codes Minimally-Sized Balanced Decomposition Schemes for Multi-Class Classification Bias-Variance Analysis of ECOC and Bagging Using Neural Nets Fast-ensembles of Minimum Redundancy Feature Selection