The Strength of Weak Learnability
Machine Learning
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural networks and the bias/variance dilemma
Neural Computation
Original Contribution: Stacked generalization
Neural Networks
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Boosting a weak learning algorithm by majority
Information and Computation
Machine Learning
Optimal Linear Combination of Neural Networks for Improving Classification Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems
Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving Performance in Neural Networks Using a Boosting Algorithm
Advances in Neural Information Processing Systems 5, [NIPS Conference]
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Pose Invariant Face Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Classification of seismic signals by integrating ensembles ofneural networks
IEEE Transactions on Signal Processing
Making use of population information in evolutionary artificialneural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
Stability problems with artificial neural networks and the ensemble solution
Artificial Intelligence in Medicine
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Stopping criteria for ensembles of evolutionary artificial neural networks
Design and application of hybrid intelligent systems
Learning classifier system ensemble for data mining
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Adapting RBF Neural Networks to Multi-Instance Learning
Neural Processing Letters
Pruning in ordered bagging ensembles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Extracting Actionable Knowledge from Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
A hybrid sales forecasting system based on clustering and decision trees
Decision Support Systems
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
Kernel matching pursuit classifier ensemble
Pattern Recognition
Using boosting to prune bagging ensembles
Pattern Recognition Letters
Face recognition from a single image per person: A survey
Pattern Recognition
Immune network based ensembles
Neurocomputing
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Pruning extensions to stacking
Intelligent Data Analysis
Nonlinear Boosting Projections for Ensemble Construction
The Journal of Machine Learning Research
EROS: Ensemble rough subspaces
Pattern Recognition
LearnMet: learning domain-specific distance metrics for plots of scientific functions
Multimedia Tools and Applications
Semisupervised Regression with Cotraining-Style Algorithms
IEEE Transactions on Knowledge and Data Engineering
Software reliability prediction by soft computing techniques
Journal of Systems and Software
Classifier ensemble selection using hybrid genetic algorithms
Pattern Recognition Letters
Visualization techniques utilizing the sensitivity analysis of models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
RotBoost: A technique for combining Rotation Forest and AdaBoost
Pattern Recognition Letters
Local face sketch synthesis learning
Neurocomputing
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Learning classifier system ensemble and compact rule set
Connection Science - Evolutionary Learning and Optimisation
Greedy regression ensemble selection: Theory and an application to water quality prediction
Information Sciences: an International Journal
A novel ensemble of classifiers for microarray data classification
Applied Soft Computing
Ensembling Extreme Learning Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Novel Ensemble Approach for Cancer Data Classification
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Emotion Classification of Audio Signals Using Ensemble of Support Vector Machines
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Component Selection to Optimize Distance Function Learning in Complex Scientific Data Sets
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Expert Systems with Applications: An International Journal
Design of ensemble neural network using the Akaike information criterion
Engineering Applications of Artificial Intelligence
International Journal of Computer Applications in Technology
Resampling-based selective clustering ensembles
Pattern Recognition Letters
Collective-agreement-based pruning of ensembles
Computational Statistics & Data Analysis
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
A selective ensemble based on expected probabilities for bankruptcy prediction
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Traffic classification using en-semble learning and co-training
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
A genetic encoding approach for learning methods for combining classifiers
Expert Systems with Applications: An International Journal
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
Bio-inspired and gradient-based algorithms to train MLPs: The influence of diversity
Information Sciences: an International Journal
Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Algorithm of Neural Network Ensembles and Robust Learning
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Face Image Recognition Combining Holistic and Local Features
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
An Ensemble Based Translator for Natural Languages
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
True Path Rule Hierarchical Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Computational Statistics & Data Analysis
A fast ensemble pruning algorithm based on pattern mining process
Data Mining and Knowledge Discovery
Study on Ensemble Classification Methods towards Spam Filtering
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
CIXL2: a crossover operator for evolutionary algorithms based on population features
Journal of Artificial Intelligence Research
Semi-supervised regression with co-training
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Stopping criteria for ensemble of evolutionary artificial neural networks
Applied Soft Computing
Neural network ensembles: evaluation of aggregation algorithms
Artificial Intelligence
Artificial Intelligence in Medicine
A novel Bayesian learning method for information aggregation in modular neural networks
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
Expert Systems with Applications: An International Journal
Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
Particle swarm optimization based AdaBoost for face detection
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Neural Network Ensembles from Training Set Expansions
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Artificial Intelligence Review
GA-stacking: Evolutionary stacked generalization
Intelligent Data Analysis
Knowledge-Based Systems
Ensemble classification based on generalized additive models
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Feature selection for bagging of support vector machines
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Confidence based gating of colour features for face authentication
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
LCSE: learning classifier system ensemble for incremental medical instances
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Selection of decision stumps in bagging ensembles
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Ensemble classifiers based on kernel PCA for cancer data classification
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Local decision bagging of binary neural classifiers
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Selective feature combination and automatic shape categorization of 3D models
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
A dynamic classifier ensemble selection approach for noise data
Information Sciences: an International Journal
Ensemble pruning via individual contribution ordering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Neural network ensembles: immune-inspired approaches to the diversity of components
Natural Computing: an international journal
Sparse ensembles using weighted combination methods based on linear programming
Pattern Recognition
Storage device performance prediction with selective bagging classification and regression tree
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Voting-averaged combination method for regressor ensemble
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Passive steganalysis based on higher order image statistics of curvelet transform
International Journal of Automation and Computing
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
Fault diagnosis in assembly processes based on engineering-driven rules and PSOSAEN algorithm
Computers and Industrial Engineering
Greedy optimization classifiers ensemble based on diversity
Pattern Recognition
Soft spectral clustering ensemble applied to image segmentation
Frontiers of Computer Science in China
Municipal revenue prediction by ensembles of neural networks and support vector machines
WSEAS Transactions on Computers
Municipal revenue prediction by support vector machine ensembles
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
Ensemble techniques for credibility estimation of GAME models
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Breast cancer diagnosis using neural-based linear fusion strategies
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Bagging-based spectral clustering ensemble selection
Pattern Recognition Letters
Software defect detection with rocus
Journal of Computer Science and Technology
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets
Information Processing and Management: an International Journal
A probabilistic model of classifier competence for dynamic ensemble selection
Pattern Recognition
A novel classifier ensemble method based on class weightening in huge dataset
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
The design of evolutionary multiple classifier system for the classification of microarray data
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Fusion of similarity measures for time series classification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
An ensemble of degraded neural networks
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Ensemble pruning via base-classifier replacement
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Visual object tracking via one-class SVM
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Pruned random subspace method for one-class classifiers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Classifier selection approaches for multi-label problems
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A new metric for greedy ensemble pruning
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Degradation process prediction for rotational machinery based on hybrid intelligent model
Robotics and Computer-Integrated Manufacturing
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
Expert Systems with Applications: An International Journal
A new approach for time series prediction using ensembles of ANFIS models
Expert Systems with Applications: An International Journal
PBN: towards practical activity recognition using smartphone-based body sensor networks
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
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
Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Aggregating regressive estimators: gradient-based neural network ensemble
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Sequential bayesian learning for modular neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Combining active learning and semi-supervised for improving learning performance
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Generation of comprehensible hypotheses from gene expression data
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
A constructive algorithm for training heterogeneous neural network ensemble
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Subnet weight modification algorithm for ensemble
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Ensemble learning for keyphrases extraction from scientific document
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Study of ensemble strategies in discovering linear causal models
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Constructing rough decision forests
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Cancer prediction using diversity-based ensemble genetic programming
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Diversity measure for multiple classifier systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Text categorization using SVMs with rocchio ensemble for internet information classification
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Ensemble learning based on multi-task class labels
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
A parallel learning approach for neural network ensemble
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Graph-Based model-selection framework for large ensembles
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
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
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
Pedestrian detection in images via cascaded L1-norm minimization learning method
Pattern Recognition
Margin distribution based bagging pruning
Neurocomputing
A novel method for prediction of protein interaction sites based on integrated RBF neural networks
Computers in Biology and Medicine
On the use of selective ensembles for relevance classification in case-based web search
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Integrated neural network ensemble algorithm based on clustering technology
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Selective voting in convex-hull ensembles improves classification accuracy
Artificial Intelligence in Medicine
Genetically evolved trees representing ensembles
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
A double pruning algorithm for classification ensembles
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
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
Pruning adaptive boosting ensembles by means of a genetic algorithm
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction
Expert Systems with Applications: An International Journal
Neural network ensemble model using PPR and LS-SVR for stock market 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
Artificial Intelligence in Medicine
Expert pruning based on genetic algorithm in regression problems
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
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
A neural network ensemble method for precision fertilization modeling
Mathematical and Computer Modelling: An International Journal
The build of n-Bits Binary Coding ICBP Ensemble System
Neurocomputing
A genetic algorithm for designing neural network ensembles
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Margin optimization based pruning for random forest
Neurocomputing
Neighborhood random classification
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
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
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
Selective ensemble modeling parameters of mill load based on shell vibration signal
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Applying ensemble learning techniques to ANFIS for air pollution index prediction in macau
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
Journal of Intelligent Manufacturing
International Journal of Bio-Inspired Computation
Intelligent detection computer viruses based on multiple classifiers
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Malicious codes detection based on ensemble learning
ATC'07 Proceedings of the 4th international conference on Autonomic and Trusted Computing
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
A competitive ensemble pruning approach based on cross-validation technique
Knowledge-Based Systems
Diversity regularized ensemble pruning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
International Journal of Automation and Computing
Classifier ensemble using a heuristic learning with sparsity and diversity
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory
International Journal of Cognitive Informatics and Natural Intelligence
Bagging ensemble selection for regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Location and route tracking in university from photos without GPS information
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Kernel Factory: An ensemble of kernel machines
Expert Systems with Applications: An International Journal
A fuzzy evolutionary framework for combining ensembles
Applied Soft Computing
Margin-based ordered aggregation for ensemble pruning
Pattern Recognition Letters
Embedding change rate estimation based on ensemble learning
Proceedings of the first ACM workshop on Information hiding and multimedia security
Computers in Biology and Medicine
INFORMS Journal on Computing
Extreme learning machine: a robust modeling technique? yes!
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
A survey of multiple classifier systems as hybrid systems
Information Fusion
Combining supervised and unsupervised models via unconstrained probabilistic embedding
Information Sciences: an International Journal
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
An effective ensemble pruning algorithm based on frequent patterns
Knowledge-Based Systems
Genetic ensemble of extreme learning machine
Neurocomputing
On a method for constructing ensembles of regression models
Automation and Remote Control
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Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its component neural networks is analyzed from the context of both regression and classification, which reveals that it may be better to ensemble many instead of all of the neural networks at hand. This result is interesting because at present, most approaches ensemble all the available neural networks for prediction. Then, in order to show that the appropriate neural networks for composing an ensemble can be effectively selected from a set of available neural networks, an approach named GASEN is presented. GASEN trains a number of neural networks at first. Then it assigns random weights to those networks and employs genetic algorithm to evolve the weights so that they can characterize to some extent the fitness of the neural networks in constituting an ensemble. Finally it selects some neural networks based on the evolved weights to make up the ensemble. A large empirical study shows that, compared with some popular ensemble approaches such as Bagging and Boosting, GASEN can generate neural network ensembles with far smaller sizes but stronger generalization ability. Furthermore, in order to understand the working mechanism of GASEN, the bias-variance decomposition of the error is provided in this paper, which shows that the success of GASEN may lie in that it can significantly reduce the bias as well as the variance.