Sparsity through evolutionary pruning prevents neuronal networks from overfitting.
Richard C. GerumAndré ErpenbeckPatrick KraussAchim SchillingPublished in: Neural Networks (2020)
Keyphrases
- neuronal networks
- avoid overfitting
- genetic algorithm
- evolutionary computation
- search space
- sparse representation
- high dimensional
- cross validation
- pruning method
- effective pruning
- evolutionary optimization
- tree pruning
- decision trees
- evolutionary methods
- moving target defense
- data sets
- pruning algorithm
- data sparsity
- exhaustive search
- website