Measuring Diversity and Accuracy in ANN Ensembles.
M. Paz Sesmero LorenteJuan Manuel Alonso-WeberAlessandro GiulianiGiuliano ArmanoAraceli SanchisPublished in: CAEPIA (2018)
Keyphrases
- artificial neural networks
- ensemble members
- high accuracy
- decision trees
- computational efficiency
- precision and recall
- prediction accuracy
- diversity measures
- multiple classifier systems
- error rate
- classification accuracy
- computational cost
- using artificial neural networks
- improved accuracy
- neural network
- ensemble methods
- ensemble learning
- random forests
- accuracy rate
- classifier ensemble
- information systems
- learning algorithm
- ensemble selection