Supervised and Unsupervised Ensemble Methods and their Applications
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
126 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-540-78981-9 |
Tabla de Contenidos:
- Ensembles of Clustering Methods and Their Applications
- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions
- Random Subspace Ensembles for Clustering Categorical Data
- Ensemble Clustering with a Fuzzy Approach
- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis
- Ensembles of Classification Methods and Their Applications
- Intrusion Detection in Computer Systems Using Multiple Classifier Systems
- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification
- Multivariate Time Series Classification via Stacking of Univariate Classifiers
- Gradient Boosting GARCH and Neural Networks for Time Series Prediction
- Cascading with VDM and Binary Decision Trees for Nominal Data
- Erratum.