A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Machine Learning - Special issue on learning with probabilistic representations
An efficient MDL-based construction of RBF networks
Neural Networks
A global learing algorithm for a RBF network
Neural Networks
Using Model Trees for Classification
Machine Learning
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
The constraint based decomposition (CBD) training architecture
Neural Networks
Using Correspondence Analysis to Combine Classifiers
Machine Learning
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The Alternating Decision Tree Learning Algorithm
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
The Coevolution of Antibodies for Concept Learning
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
The Journal of Machine Learning Research
Redundant feature elimination for multi-class problems
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multiclass Boosting for Weak Classifiers
The Journal of Machine Learning Research
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Improving Multiclass Pattern Recognition by the Combination of Two Strategies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Bayesian Gaussian Process Classification with the EM-EP Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast kernel-based nonlinear discriminant analysis for multi-class problems
Pattern Recognition
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Improving on bagging with input smearing
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Cooperative coevolution of artificial neural network ensembles for pattern classification
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary learning of nearest-neighbor MLP
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Expert Systems with Applications: An International Journal
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Designing RBFNNs using prototype selection
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
A hybrid particle swarm optimization and its application in neural networks
Expert Systems with Applications: An International Journal
A random forest classifier for lymph diseases
Computer Methods and Programs in Biomedicine
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A new hybrid scheme of the radial basis function neural network (RBFNN) model and the co-operative co-evolutionary algorithm (Co-CEA) is presented for multiclass classification tasks. This combination of the conventional RBFNN training algorithm and the proposed Co-CEA enforces the strength of both methods. First, the decaying radius selection clustering (DRSC) method is used to obtain the initial hidden nodes of the RBFNN model, which are further partitioned into modules of hidden nodes by the K-means method. Then, subpopulations are initialized on modules, and the Co-CEA evolves all subpopulations to find the optimal RBFNN structural parameters. Matrix-form mixed encoding and special crossover and mutation operators are designed. Finally, the proposed algorithm is tested on 14 real-world classification problems from the UCI machine learning repository, and experimental results illustrate that the algorithm is able to produce RBFNN models that have better prediction accuracies and simpler structures than conventional algorithms of classification.