Boosting regression estimators
Neural Computation
Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
Using Iterated Bagging to Debias Regressions
Machine Learning
Boosting Methods for Regression
Machine Learning
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
Improving nonparametric regression methods by bagging and boosting
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Observational Learning with Modular Networks
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Applying Boosting Techniques to Genetic Programming
Selected Papers from the 5th European Conference on Artificial Evolution
Machine Learning
Predicting probability distributions for surf height using an ensemble of mixture density networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Evolutionary product unit based neural networks for regression
Neural Networks
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
Combining forecasts with blind signal separation methods in electric load prediction framework
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Non-strict heterogeneous Stacking
Pattern Recognition Letters
Pruning extensions to stacking
Intelligent Data Analysis
Estimation of individual prediction reliability using the local sensitivity analysis
Applied Intelligence
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
An overview of advances in reliability estimation of individual predictions in machine learning
Intelligent Data Analysis
Fusion of Topology Preserving Neural Networks
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Ensemble methods for improving the performance of neighborhood-based collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Boosting and instability for regression trees
Computational Statistics & Data Analysis
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
Boosted Neural Networks in Evolutionary Computation
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
A new supervised local modelling classifier based on information theory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Genetic programming with boosting for ambiguities in regression problems
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
An empirical boosting scheme for ROC-based genetic programming classifiers
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
A comparison of model aggregation methods for regression
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
On the importance of data balancing for symbolic regression
IEEE Transactions on Evolutionary Computation
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
Neural networks as surrogate models for measurements in optimization algorithms
ASMTA'10 Proceedings of the 17th international conference on Analytical and stochastic modeling techniques and applications
Voting-averaged combination method for regressor ensemble
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks
Neural Processing Letters
An empirical study of multilayer perceptron ensembles for regression tasks
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Pattern Recognition Letters
Using ensembles of regression trees to monitor lubricating oil quality
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Aggregating regressive estimators: gradient-based neural network ensemble
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Moderated innovations in self-poised ensemble learning
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Training regression ensembles by sequential target correction and resampling
Information Sciences: an International Journal
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
Regression-based intensity estimation of facial action units
Image and Vision Computing
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