Ensemble learning via negative correlation

MLP in layer-wise form with applications to weight decay

Neural Computation

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)

Neural Networks

Case Representation Issues for Case-Based Reasoning from Ensemble Research

ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development

Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Designing committees of models through deliberate weighting of data points

The Journal of Machine Learning Research

Stopping criteria for ensembles of evolutionary artificial neural networks

Design and application of hybrid intelligent systems

Selecting salient features for classification based on neural network committees

Pattern Recognition Letters

A cooperative constructive method for neural networks for pattern recognition

Pattern Recognition

Evolving Neural Network Ensembles by Minimization of Mutual Information

International Journal of Hybrid Intelligent Systems

Non-strict heterogeneous Stacking

Pattern Recognition Letters

A neural network ensemble method with jittered training data for time series forecasting

Information Sciences: an International Journal

The Dynamics of Negative Correlation Learning

Journal of VLSI Signal Processing Systems

A theoretical framework for multiple neural network systems

Neurocomputing

Greedy regression ensemble selection: Theory and an application to water quality prediction

Information Sciences: an International Journal

Ensembling Extreme Learning Machines

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks

Evolving Committees of Support Vector Machines

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

A feature selection technique for generation of classification committees and its application to categorization of laryngeal images

Pattern Recognition

Evolving an Ensemble of Neural Networks Using Artificial Immune Systems

SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning

Ensemble of single-layered complex-valued neural networks for classification tasks

Neurocomputing

Negative correlation in incremental learning

Natural Computing: an international journal

Selective negative correlation learning approach to incremental learning

Neurocomputing

Particle swarm optimization based multi-prototype ensembles

Proceedings of the 11th Annual conference on Genetic and evolutionary computation

Constructing diverse classifier ensembles using artificial training examples

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Genetic algorithm based selective neural network ensemble

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

Stopping criteria for ensemble of evolutionary artificial neural networks

Applied Soft Computing

Progressive interactive training: A sequential neural network ensemble learning method

Neurocomputing

Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II

Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Diversity exploration and negative correlation learning on imbalanced data sets

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Evolving hybrid ensembles of learning machines for better generalisation

Neurocomputing

Ensemble learning in linearly combined classifiers via negative correlation

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

Negative correlation learning and the ambiguity family of ensemble methods

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems

Two bagging algorithms with coupled learners to encourage diversity

IDA'07 Proceedings of the 7th international conference on Intelligent data analysis

Neural network ensemble training by sequential interaction

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Meta-learning for time series forecasting and forecast combination

Neurocomputing

Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks

IEEE Transactions on Neural Networks

Looking inside self-organizing map ensembles with resampling and negative correlation learning

Neural Networks

Negative correlation learning of neuro-fuzzy system ensembles

ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I

Analysis of bagging ensembles of fuzzy models for premises valuation

ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II

Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal

ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II

Feature extraction and classifier combination for image-based sketch recognition

Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium

Application of cooperative neural network ensemble for developing control system of autonomous robots

SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization

Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles

Neurocomputing

A principled evaluation of ensembles of learning machines for software effort estimation

Proceedings of the 7th International Conference on Predictive Models in Software Engineering

Multi-label ensemble learning

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification

PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature

How to stop the evolutionary process in evolving neural network ensembles

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Moderated innovations in self-poised ensemble learning

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I

Selecting variables for neural network committees

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Ensemble learning with local diversity

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Self-poised ensemble learning

IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis

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

Role of statistical dependence between classifier scores in determining the best decision fusion rule for improved biometric verification

MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security

Training regression ensembles by sequential target correction and resampling

Information Sciences: an International Journal

Local negative correlation with resampling

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

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

Artificial Intelligence in Medicine

Lung cancer cell identification based on artificial neural network ensembles

Artificial Intelligence in Medicine

A genetic algorithm for designing neural network ensembles

Proceedings of the 14th annual conference on Genetic and evolutionary computation

Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts

Neural Processing Letters

Selective ensemble of support vector data descriptions for novelty detection

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

A heuristically perturbation of dataset to achieve a diverse ensemble of classifiers

MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition

Combining features of negative correlation learning with mixture of experts in proposed ensemble methods

Applied Soft Computing

Ensemble approaches for regression: A survey

ACM Computing Surveys (CSUR)

Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification

Applied Soft Computing

Evolutionary extreme learning machine ensembles with size control

Neurocomputing

Exploiting unlabeled data to enhance ensemble diversity

Data Mining and Knowledge Discovery

Automatic Detection of Arrow Annotation Overlays in Biomedical Images

International Journal of Healthcare Information Systems and Informatics

Software effort estimation as a multiobjective learning problem

ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance

Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development

Neurocomputing

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models

Neurocomputing

Neural network modeling of vector multivariable functions in ill-posed approximation problems

Journal of Computer and Systems Sciences International

Fast decorrelated neural network ensembles with random weights

Information Sciences: an International Journal

Boosted Pre-loaded Mixture of Experts for low-resolution face recognition

International Journal of Hybrid Intelligent Systems