“Change-glasses” approach in pattern recognition
Pattern Recognition Letters
Machine Learning
Combination of Multiple Classifiers Using Local Accuracy Estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
Soft combination of neural classifiers: a comparative study
Pattern Recognition Letters
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
An approach to the automatic design of multiple classifier systems
Pattern Recognition Letters - Special issue on machine learning and data mining in pattern recognition
Machine Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
On growing better decision trees from data
On growing better decision trees from data
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Adaptive mixtures of local experts
Neural Computation
Data dependence in combining classifiers
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
MML inference of oblique decision trees
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Switching between selection and fusion in combining classifiers: anexperiment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multivariate decision trees using linear discriminants and tabu search
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The pandemonium system of reflective agents
IEEE Transactions on Neural Networks
Local linear perceptrons for classification
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Classifiability-based omnivariate decision trees
IEEE Transactions on Neural Networks
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
True Path Rule Hierarchical Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Ant Clustering Using Ensembles of Partitions
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Logistic ensembles of Random Spherical Linear Oracles for microarray classification
International Journal of Data Mining and Bioinformatics
Naïve Bayes ensemble learning based on oracle selection
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Online evolutionary context-aware classifier ensemble framework for object recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Ensemble classification based on generalized additive models
Computational Statistics & Data Analysis
Naïve Bayes ensembles with a random oracle
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A granular agent evolutionary algorithm for classification
Applied Soft Computing
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
An ensemble of degraded neural networks
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
Granular fuzzy models: a study in knowledge management in fuzzy modeling
International Journal of Approximate Reasoning
Improving a dynamic ensemble selection method based on oracle information
International Journal of Innovative Computing and Applications
An ensemble of SVM classifiers based on gene pairs
Computers in Biology and Medicine
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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We propose a combined fusion-selection approach to classifier ensemble design. Each classifier in the ensemble is replaced by a miniensemble of a pair of subclassifiers with a random linear oracle to choose between the two. It is argued that this approach encourages extra diversity in the ensemble while allowing for high accuracy of the individual ensemble members. Experiments were carried out with 35 data sets from UCI and 11 ensemble models. Each ensemble model was examined with and without the oracle. The results showed that all ensemble methods benefited from the new approach, most markedly so random subspace and bagging. A further experiment with seven real medical data sets demonstrates the validity of these findings outside the UCI data collection.