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Multi‐objective ensemble generation
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Statistical Methods for Rates and Proportions
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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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Feature Selection for Ensembles Using the Multi-Objective Optimization Approach
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Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
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Adapting Weighted Aggregation for Multiobjective Evolution Strategies
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Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error
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Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems
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The Pareto Envelope-Based Selection Algorithm for Multiobjective Optimization
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A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
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Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting
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A desicion-theoretic generalization of on-line learning and an application to boosting
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DIVACE: Diverse and Accurate Ensemble Learning Algorithm
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Many-Objective Optimization: An Engineering Design Perspective
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Multi-objective Genetic Algorithms to Create Ensemble of Classifiers
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The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration
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An Information Theoretic Perspective on Multiple Classifier Systems
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Multi-information Ensemble Diversity
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Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
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Diversity Regularized Ensemble Pruning
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Multiobjective optimization using evolutionary algorithms — A comparative case study
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Multiobjective evolutionary clustering of Web user sessions: a case study in Web page recommendation
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Limits on the majority vote accuracy in classifier fusion
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Ensemble Learning Using Multi-Objective Evolutionary Algorithms
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Pareto-optimality of oblique decision trees from evolutionary algorithms
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An analysis of diversity measures
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Genetic algorithms in classifier fusion
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Application of elitist multi-objective genetic algorithm for classification rule generation
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SMS-EMOA: Multiobjective selection based on dominated hypervolume
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Diversity in search strategies for ensemble feature selection
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Diversity creation methods: a survey and categorisation
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Classifier selection for majority voting
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Overfitting cautious selection of classifier ensembles with genetic algorithms
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Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?
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Evolving hybrid ensembles of learning machines for better generalisation
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A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models
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Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction
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A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
inferredcites →https://doi.org/10.1016/j.swevo.2011.03.001openalex-snapshot
Multiobjective evolutionary algorithms: A survey of the state of the art
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Ensembling neural networks: Many could be better than all
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Decision templates for multiple classifier fusion: an experimental comparison
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Design of effective neural network ensembles for image classification purposes
inferredcites →https://doi.org/10.1016/s0893-6080(99)00073-8openalex-snapshot
Ensemble learning via negative correlation
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Advances in neural information processing systems 7
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Software diversity: practical statistics for its measurement and exploitation
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Relationships between combination methods and measures of diversity in combining classifiers
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An experimental study on diversity for bagging and boosting with linear classifiers
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An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
inferredcites →https://doi.org/10.1023/a:1022859003006openalex-snapshot
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
inferredcites →https://doi.org/10.1049/el:19981000openalex-snapshot
Fast committee learning: Preliminary results
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Error Correlation and Error Reduction in Ensemble Classifiers
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VII. On the association of attributes in statistics: with illustrations from the material of the childhood society, &c
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A method of combining multiple experts for the recognition of unconstrained handwritten numerals
inferredcites →https://doi.org/10.1109/3477.678637openalex-snapshot
Making use of population information in evolutionary artificial neural networks
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Switching between selection and fusion in combining classifiers: an experiment
inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
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A multi-objective genetic local search algorithm and its application to flowshop scheduling
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Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal?
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Pareto neuro-evolution: constructing ensemble of neural networks using multi-objective optimization
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Neural network regularization and ensembling using multi-objective evolutionary algorithms
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Neural network ensembles for image identification using Pareto-optimal features
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Neural network ensembles for video game AI using evolutionary multi-objective optimization
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Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm
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Clustering unlabeled data with SOMs improves classification of labeled real-world data
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Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers
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A multi-objective ensemble method for online class imbalance learning
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Generating diverse and accurate classifier ensembles using multi-objective optimization
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
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RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
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On the Effects of Adding Objectives to Plateau Functions
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A Fast Way of Calculating Exact Hypervolumes
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Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
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A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
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Rotation Forest: A New Classifier Ensemble Method
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Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies
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When networks disagree: Ensemble methods for hybrid neural networks
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Simultaneous use of different scalarizing functions in MOEA/D
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Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions
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Evolving ensembles in multi-objective genetic programming for classification with unbalanced data
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Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting model
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An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation
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Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
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Popular Ensemble Methods: An Empirical Study
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Statistical Methods for Rates and Proportions.
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A Coupling Procedure for the Discrimination of Mixed Data
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SPEA2: Improving the strength pareto evolutionary algorithm
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Managing Diversity in Regression Ensembles
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The Handbook of brain theory and neural networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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