Communications of the ACM
The Strength of Weak Learnability
Machine Learning
“Fast learning in multi-resolution hierarchies”
Advances in neural information processing systems 1
Neural networks and the bias/variance dilemma
Neural Computation
Boosting a weak learning algorithm by majority
Information and Computation
Machine Learning
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Regressors using Boosting Techniques
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Performance in Neural Networks Using a Boosting Algorithm
Advances in Neural Information Processing Systems 5, [NIPS Conference]
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
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Neural network ensemble strategies for financial decision applications
Computers and Operations Research
Boosting with Noisy Data: Some Views from Statistical Theory
Neural Computation
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Local averaging of heterogeneous regression models
International Journal of Hybrid Intelligent Systems
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Selecting salient features for classification committees
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
A multi-agent system to assist with property valuation using heterogeneous ensembles of fuzzy models
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Study of the behavior of a new boosting algorithm for recurrent neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Predicting chaotic time series by boosted recurrent neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
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