Ensembles of relational classifiers
β Scribed by Christine Preisach; Lars Schmidt-Thieme
- Publisher
- Springer-Verlag
- Year
- 2007
- Tongue
- English
- Weight
- 626 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0219-1377
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Ensemble methods improve the classification accuracy at the expense of testing complexity, resulting in increased computational costs in real-world applications. Developing a utility-based framework, we construct two novel cost-conscious ensembles; the first one determines a subset of classifiers an
Kernel Matching Pursuit Classifier (KMPC), a novel classification machine in pattern recognition, has an excellent advantage in solving classification problems for the sparsity of the solution. Unfortunately, the performance of the KMPC is far from the theoretically expected level of it. Ensemble Me