Machine Learning
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Ensembling neural networks: many could be better than all
Artificial Intelligence
Boosting Methods for Regression
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Statistically controlled activation weight initialization (SCAWI)
IEEE Transactions on Neural Networks
Ensemble Methods: Foundations and Algorithms
Ensemble Methods: Foundations and Algorithms
| Hi-index | 0.00 |
We propose a method for constructing ensembles of regression models and perform its theoretical and experimental analysis.