Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization

Bias/variance analyses of mixtures-of-experts architectures

Neural Computation

Averaging regularized estimators

Neural Computation

Voting over Multiple Condensed Nearest Neighbors

Artificial Intelligence Review - Special issue on lazy learning

On bias plus variance

Neural Computation

Optimal Linear Combination of Neural Networks for Improving Classification Performance

IEEE Transactions on Pattern Analysis and Machine Intelligence

Linearly Combining Density Estimators via Stacking

Machine Learning

Building Optimal Committees of Genetic Programs

PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature

Multiclassifier Systems: Back to the Future

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1

Boosting Neural Networks

Neural Computation

Managing Diversity in Regression Ensembles

The Journal of Machine Learning Research

Annealing stochastic approximation Monte Carlo algorithm for neural network training

Machine Learning

A theoretical framework for multiple neural network systems

Neurocomputing

The lack of a priori distinctions between learning algorithms

Neural Computation

The existence of a priori distinctions between learning algorithms

Neural Computation

Avoiding Boosting Overfitting by Removing Confusing Samples

ECML '07 Proceedings of the 18th European conference on Machine Learning

Semi-supervised Learning with Ensemble Learning and Graph Sharpening

IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning

Ensemble Learning for Multi-source Information Fusion

ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

ODDboost: Incorporating Posterior Estimates into AdaBoost

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Connectionist theory refinement: genetically searching the space of network topologies

Journal of Artificial Intelligence Research

Healthcare audio event classification using hidden Markov models and hierarchical hidden Markov models

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo

No-reference quality assessment of JPEG images by using CBP neural networks

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Defect detection in flat surface products using log-Gabor filters

International Journal of Hybrid Intelligent Systems

An empirical evaluation of bagging and boosting

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Pattern classification driven enhancements for human-in-the-loop decision support systems

Decision Support Systems

A novel training weighted ensemble (TWE) with application to face recognition

Applied Soft Computing

Patch reprojections for Non-Local methods

Signal Processing

A new ensemble method for gold mining problems: Predicting technology transfer

Electronic Commerce Research and Applications

Circular-ELM for the reduced-reference assessment of perceived image quality

Neurocomputing

Sharpened graph ensemble for semi-supervised learning

Intelligent Data Analysis