Classification and regression by combining models

Guest Editors‘ Introduction

Machine Learning

A Principal Components Approach to Combining Regression Estimates

Machine Learning

Using Correspondence Analysis to Combine Classifiers

Machine Learning

Input Decimation Ensembles: Decorrelation through Dimensionality Reduction

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Designing committees of models through deliberate weighting of data points

The Journal of Machine Learning Research

Combining Intelligent Techniques for Sensor Fusion

Applied Intelligence

A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data

CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference

Local Feature Selection with Dynamic Integration of Classifiers

Fundamenta Informaticae - Intelligent Systems

Feature Extraction for Dynamic Integration of Classifiers

Fundamenta Informaticae

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach

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

A novel composite model approach to improve software quality prediction

Information and Software Technology

Feature Extraction for Dynamic Integration of Classifiers

Fundamenta Informaticae

Local Feature Selection with Dynamic Integration of Classifiers

Fundamenta Informaticae - Intelligent Systems

Ensemble approaches for regression: A survey

ACM Computing Surveys (CSUR)

Ant colony based approach to predict stock market movement from mood collected on Twitter

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining