An experimental evaluation of the assumption of independence in multiversion programming
IEEE Transactions on Software Engineering
Conceptual Modeling of Coincident Failures in Multiversion Software
IEEE Transactions on Software Engineering
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
Synergy of clustering multiple back propagation networks
Advances in neural information processing systems 2
Chaitin-Kolmogorov complexity and generalization in neural networks
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Network generalization differences quantified
Neural Networks
Boosting and other ensemble methods
Neural Computation
The Case for Inductive Programming
Computer
On the relationship between majority vote accuracy and dependency in multiple classifier systems
Pattern Recognition Letters
Automatic Design of Multiple Classifier Systems by Unsupervised Learning
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Ensembles of Learning Machines
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
The ``Test and Select'' Approach to Ensemble Combination
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Methods for Designing Multiple Classifier Systems
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Clustering ensembles of neural network models
Neural Networks
Improving generalization of neural networks using multilayer perceptron discriminants
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers
Applied Intelligence
The Knowledge Engineering Review
Classifier geometrical characteristic comparison and its application in classifier selection
Pattern Recognition Letters
A Comparative Study of Feature-Salience Ranking Techniques
Neural Computation
Multi-Classifier Systems: Review and a roadmap for developers
International Journal of Hybrid Intelligent Systems
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
An Intelligent CRM System for Identifying High-Risk Customers: An Ensemble Data Mining Approach
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
On the Effectiveness of Diversity When Training Multiple Classifier Systems
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Study of Semi-supervised Generative Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Computational Statistics & Data Analysis
Support vector machine based multiagent ensemble learning for credit risk evaluation
Expert Systems with Applications: An International Journal
A selection approach for scalable fuzzy integral combination
Information Fusion
Artificial Intelligence Review
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Ensemble methods to improve the performance of an English handwritten text line recognizer
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Inelligent ensemble system aids osteoporosis early detection
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Selection of classifiers using information-theoretic criteria
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
A classifier ensemble method for fuzzy classifiers
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Selective neural network ensemble based on clustering
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning
Neural Processing Letters
Using an ensemble of classifiers to audit a production classifier
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Multi-objective genetic algorithms to create ensemble of classifiers
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
Being SMART about failures: assessing repairs in SMART homes
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
A multilayered ensemble architecture for the classification of masses in digital mammograms
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Margin-based ordered aggregation for ensemble pruning
Pattern Recognition Letters
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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In this paper we address the problem of constructing reliable neural-net implementations, given the assumption that any particular implementation will not be totally correct. The approach taken in this paper is to organize the inevitable errors so as to minimize their impact in the context of a multiversion system, i.e., the system functionality is reproduced in multiple versions, which together will constitute the neural-net system. The unique characteristics of neural computing are exploited in order to engineer reliable systems in the form of diverse, multiversion systems that are used together with a "decision strategy" (such as majority vote). Theoretical notions of "methodological diversity" contributing to the improvement of system performance are implemented and tested. An important aspect of the engineering of an optimal system is to overproduce the components and then choose an optimal subset. Three general techniques for choosing final system components are implemented and evaluated. Several different approaches to the effective engineering of complex multiversion systems designs are realized and evaluated to determine overall reliability as well as reliability of the overall system in comparison to the lesser reliability of component substructures.