Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Combining the results of several neural network classifiers
Neural Networks
Fusion of handwritten word classifiers
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Optimal linear combinations of neural networks
Neural Networks
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theoretical Study on Six Classifier Fusion Strategies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems
Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems
Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Methods for Dynamic Classifier Selection
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Hierarchical Mixtures of Experts and the EM Algorithm
Hierarchical Mixtures of Experts and the EM Algorithm
The Knowledge Engineering Review
Feature-based architectures for decision fusion
Feature-based architectures for decision fusion
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
A neural network based multi-classifier system for gene identification in DNA sequences
Neural Computing and Applications
Engineering multiversion neural-net systems
Neural Computation
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Diverse committees vote for dependable profits
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multi-modality web video categorization
Proceedings of the international workshop on Workshop on multimedia information retrieval
On diversity and accuracy of homogeneous and heterogeneous ensembles
International Journal of Hybrid Intelligent Systems
Reliability Assessment of Ensemble Classifiers: Application in Mammography
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
Diversity in Combinations of Heterogeneous Classifiers
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Minimizing the Limitations of GL Analyser of Fusion Based Email Classification
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Selective costing ensemble for handling imbalanced data sets
International Journal of Hybrid Intelligent Systems
Fuzzy integral to speed up support vector machines training for pattern classification
International Journal of Knowledge-based and Intelligent Engineering Systems
Neural system for heartbeats recognition using genetically integrated ensemble of classifiers
Computers in Biology and Medicine
A novel training weighted ensemble (TWE) with application to face recognition
Applied Soft Computing
Multi-domain sentiment classification with classifier combination
Journal of Computer Science and Technology - Special issue on natural language processing
Ensembles of ARTMAP-based neural networks: an experimental study
Applied Intelligence
Efficient astronomical data classification on large-scale distributed systems
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
A refined SVM applied in medical image annotation
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Improving a dynamic ensemble selection method based on oracle information
International Journal of Innovative Computing and Applications
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
International Journal of Knowledge-based and Intelligent Engineering Systems
Learning to filter spam emails: An ensemble learning approach
International Journal of Hybrid Intelligent Systems
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition
International Journal of Hybrid Intelligent Systems
Hybrid random subsample classifier ensemble for high dimensional data sets
International Journal of Hybrid Intelligent Systems
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Multi-Classifier Systems (MCSs) have fast been gaining popularity among researchers for their ability to fuse together multiple classification outputs for better accuracy and classification. At present, there is a lot of literature covering many of the issues and concerns that MCS designers encounters. However, we found out that there isn't a single paper published thus far which presents an overall picture of the basic principles behind the design of multi-classifier systems. Therefore, this paper presents a current overview of MCSs and provides a road-map for MCS designers. We identify all the key decisions that a designer would have to make over the design of a MCS and list out the most useful options available at each decision making step. We also present a case-study of the MCS theoretical issues considered, and present informal guidelines for the selection of different paradigms, based on the properties and distribution of the data. We also introduce a novel optimization of the standard majority voting combiner which uses a genetic algorithm.