Neural Network Ensembles

Authors:
L. K. Hansen;P. Salamon
Affiliations:
-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1990

Citing 2
Cited 419

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Greedy optimization classifiers ensemble based on diversity

Pattern Recognition
Inference on the prediction of ensembles of infinite size

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Soft spectral clustering ensemble applied to image segmentation

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Neural network ensembles with missing data processing and data fusion capacities: applications in medicine and in the environment

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An ensemble of degraded neural networks

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Optimal weights for multi-atlas label fusion

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Diverse reduct subspaces based co-training for partially labeled data

International Journal of Approximate Reasoning
Using confusion matrices and confusion graphs to design ensemble classification models from large datasets

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Creating and measuring diversity in multiple classifier systems using support vector data description

Applied Soft Computing
A multilevel information fusion approach for visual quality inspection

Information Fusion
Effect of different window and wavelet types on the performance of a novel crackle detection algorithm

ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Degradation process prediction for rotational machinery based on hybrid intelligent model

Robotics and Computer-Integrated Manufacturing
Improvements in image categorization using codebook ensembles

Image and Vision Computing
Empirical comparison of four classifier fusion strategies for positive-versus-negative ensembles

Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment
On the effectiveness of distributed learning on different class-probability distributions of data

CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Using OVA modeling to improve classification performance for large datasets

Expert Systems with Applications: An International Journal
Aggregating regressive estimators: gradient-based neural network ensemble

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Multistage neural network metalearning with application to foreign exchange rates forecasting

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Hypothesis diversity in ensemble classification

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Symmetries from uniform space covering in stochastic discrimination

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Using ensemble information in swarming artificial neural networks

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Negatively correlated neural network ensemble with multi-population particle swarm optimization

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Constructive ensemble of RBF neural networks and its application to earthquake prediction

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Using PCA-Based neural network committee model for early warning of bank failure

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Neural network ensemble and support vector machine classifiers: an application to remote sensed data

WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
Classification of remotely sensed images using neural-network ensemble and fuzzy integration

PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
A random method for quantifying changing distributions in data streams

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Using ensemble method to improve the performance of genetic algorithm

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Low voltage risk assessment in power system using neural network ensemble

ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Modeling meteorological prediction using particle swarm optimization and neural network ensemble

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Coevolutionary learning of neural network ensemble for complex classification tasks

Pattern Recognition
A D-GMDH model for time series forecasting

Expert Systems with Applications: An International Journal
Improved principal component analysis and neural network ensemble based economic forecasting

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Subnet weight modification algorithm for ensemble

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Empirical study on fusion methods using ensemble of RBFNN for network intrusion detection

ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Ensemble learning for keyphrases extraction from scientific document

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
HyperSurface classifiers ensemble for high dimensional data sets

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A bias-variance-complexity trade-off framework for complex system modeling

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning

Neural Processing Letters
Building ensembles of neural networks with class-switching

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Dynamic and static weighting in classifier fusion

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Ensemble learning with biased classifiers: the Triskel algorithm

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Evaluation of diversity measures for binary classifier ensembles

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Tissue classification using gene expression data and artificial neural network ensembles

ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Cancer prediction using diversity-based ensemble genetic programming

MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Generate different neural networks by negative correlation learning

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Adaptive and competitive committee machine architecture

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Robust ensemble learning for cancer diagnosis based on microarray data classification

ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Novel ensemble methods for regression via classification problems

Expert Systems with Applications: An International Journal
Automatic traffic incident detection based on nFOIL

Expert Systems with Applications: An International Journal
Face recognition – combine generic and specific solutions

ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Multiple classifier system with feature grouping for intrusion detection: mutual information approach

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Generating diverse ensembles to counter the problem of class imbalance

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Research article: Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions

Computational Biology and Chemistry
One-against-all ensemble for multiclass pattern classification

Applied Soft Computing
Solving large n-bit parity problems with the evolutionary ANN ensemble

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Kernel independent component analysis and dynamic selective neural network ensemble for fault diagnosis of steam turbine

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Application of mixture of experts to construct real estate appraisal models

HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Selective SVMs ensemble driven by immune clonal algorithm

EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
An evolutionary programming based asymmetric weighted least squares support vector machine ensemble learning methodology for software repository mining

Information Sciences: an International Journal
Path switching in OBS networks

NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Content filtering of decentralized p2p search system based on heterogeneous neural networks ensemble

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Spiculated lesion detection in digital mammogram based on artificial neural network ensemble

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Statistical ensemble method (SEM): a new meta-machine learning approach based on statistical techniques

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Designing ensembles of fuzzy classification systems: an immune-inspired approach

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization

Genetic Programming and Evolvable Machines
Segmented document classification: problem and solution

DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Genetically evolved trees representing ensembles

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Ensemble prediction of commercial bank failure through diversification of input features

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Learning a lot from only a little: genetic programming for panel segmentation on sparse sensory evaluation data

EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Discrimination of protein thermostability based on a new integrated neural network

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction

Expert Systems with Applications: An International Journal
Balanced-Sampling-Based heterogeneous SVR ensemble for business demand forecasting

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
CCC: classifier combination via classifier

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Mining tourist preferences with twice-learning

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Methodological triangulation using neural networks for business research

Advances in Artificial Neural Systems
WeAidU-a decision support system for myocardial perfusion images using artificial neural networks

Artificial Intelligence in Medicine
Explaining the output of ensembles in medical decision support on a case by case basis

Artificial Intelligence in Medicine
Paper: On the quality of neural net classifiers

Artificial Intelligence in Medicine
Lung cancer cell identification based on artificial neural network ensembles

Artificial Intelligence in Medicine
Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis

Applied Soft Computing
Neural networks ensembles approach for simulation of solar arrays degradation process

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Multilayer-Perceptron network ensemble modeling with genetic algorithms for the capacity of bolted lap joint

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Generalized weighted majority voting with an application to algorithms having spatial output

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A neural network ensemble method for precision fertilization modeling

Mathematical and Computer Modelling: An International Journal
An efficient ensemble classification method based on novel classifier selection technique

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
The build of n-Bits Binary Coding ICBP Ensemble System

Neurocomputing
Modular symbiotic adaptive neuro evolution for high dimensionality classificatory problems

Intelligent Decision Technologies
Optimization the initial weights of artificial neural networks via genetic algorithm applied to hip bone fracture prediction

Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
Tri-training based on neural network ensemble algorithm

IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A heuristically perturbation of dataset to achieve a diverse ensemble of classifiers

MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
A heuristic diversity production approach

ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
RSGALS-SVM: random subspace method applied to a LS-SVM ensemble optimized by genetic algorithm

IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Ensemble methods for prediction of parkinson disease

IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
A robust approach for root causes identification in machining processes using hybrid learning algorithm and engineering knowledge

Journal of Intelligent Manufacturing
Combining classifiers under probabilistic models: experimental comparative analysis of methods

Expert Systems: The Journal of Knowledge Engineering
Malicious codes detection based on ensemble learning

ATC'07 Proceedings of the 4th international conference on Autonomic and Trusted Computing
Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification

Applied Soft Computing
Tree ensembles for predicting structured outputs

Pattern Recognition
Evolutionary extreme learning machine ensembles with size control

Neurocomputing
A competitive ensemble pruning approach based on cross-validation technique

Knowledge-Based Systems
Random subspace method and genetic algorithm applied to a LS-SVM ensemble

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Improving neural networks classification through chaining

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Ensembled neural networks applied to modeling survival rate for the patients with out-of-hospital cardiac arrest

Artificial Life and Robotics
Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment plants

International Journal of Automation and Computing
Benchmarking for steganography by kernel fisher discriminant criterion

Inscrypt'11 Proceedings of the 7th international conference on Information Security and Cryptology
Rule extraction from ensemble methods using aggregated decision trees

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
How large should ensembles of classifiers be?

Pattern Recognition
An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression

International Journal of Applied Evolutionary Computation
The use of artificial-intelligence-based ensembles for intrusion detection: a review

Applied Computational Intelligence and Soft Computing
Cross-validation of bimodal health-related stress assessment

Personal and Ubiquitous Computing
Bagging and Boosting statistical machine translation systems

Artificial Intelligence
A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory

International Journal of Cognitive Informatics and Natural Intelligence
Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison

Expert Systems with Applications: An International Journal
Breast Cancer Diagnosis Using Optimized Attribute Division in Modular Neural Networks

Journal of Information Technology Research
Pulmonary crackle detection using time-frequency and time-scale analysis

Digital Signal Processing
A comparative study of classifier combination applied to NLP tasks

Information Fusion
An end stage kidney disease predictor based on an artificial neural networks ensemble

Expert Systems with Applications: An International Journal
Background intensity independent texture features for assessing breast cancer risk in screening mammograms

Pattern Recognition Letters
A diversity production approach in ensemble of base classifiers

MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Subsampling for efficient and effective unsupervised outlier detection ensembles

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models

INFORMS Journal on Computing
Distributed Privacy-Preserving Decision Support System for Highly Imbalanced Clinical Data

ACM Transactions on Management Information Systems (TMIS)
An ensemble of computational intelligence models for software maintenance effort prediction

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
A study on the randomness reduction effect of extreme learning machine with ridge regression

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Optimized neural network ensemble by combination of particle swarm optimization and differential evolution

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Chinese text classification based on neural network

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development

Neurocomputing
A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot

Neurocomputing
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining

INFORMS Journal on Computing
An investigation into the application of ensemble learning for entailment classification

Information Processing and Management: an International Journal
A survey of multiple classifier systems as hybrid systems

Information Fusion
An improved boosting based on feature selection for corporate bankruptcy prediction

Expert Systems with Applications: An International Journal
Neural network language models for off-line handwriting recognition

Pattern Recognition
Sentiment classification: The contribution of ensemble learning

Decision Support Systems
A novel method for combining Bayesian networks, theoretical analysis, and its applications

Pattern Recognition
Dissimilarity based ensemble of extreme learning machine for gene expression data classification

Neurocomputing
Extreme learning machine towards dynamic model hypothesis in fish ethology research

Neurocomputing
Automated trading with performance weighted random forests and seasonality

Expert Systems with Applications: An International Journal
Genetic ensemble of extreme learning machine

Neurocomputing
Ensemble canonical correlation analysis

Applied Intelligence
Neural network ensemble operators for time series forecasting

Expert Systems with Applications: An International Journal
Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river

Computers & Geosciences
Fast decorrelated neural network ensembles with random weights

Information Sciences: an International Journal
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers

Intelligent Data Analysis - Business Analytics and Intelligent Optimization
A novel classifier ensemble method with sparsity and diversity

Neurocomputing

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Abstract

Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of similar networks.