A Bayesian Multiple Models Combination Method for Time Series Prediction
Journal of Intelligent and Robotic Systems
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration
Neural Processing Letters
Mining Dependence Structures from Statistical Learning Perspective
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
Neural Networks - New developments in self-organizing maps
On Consistency of Bayesian Inference with Mixtures of Logistic Regression
Neural Computation
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures
Neural Computation
Density Estimation by Mixture Models with Smoothing Priors
Neural Computation
EEG signal classification using wavelet feature extraction and a mixture of expert model
Expert Systems with Applications: An International Journal
Time-Series Segmentation Using Predictive Modular Neural Networks
Neural Computation
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
A theoretical framework for multiple neural network systems
Neurocomputing
Missing Data Imputation Techniques
International Journal of Business Intelligence and Data Mining
On convergence properties of the em algorithm for gaussian mixtures
Neural Computation
Estimating local optimums in EM algorithm over Gaussian mixture model
Proceedings of the 25th international conference on Machine learning
On the influence of imputation in classification: practical issues
Journal of Experimental & Theoretical Artificial Intelligence
A Single Loop EM Algorithm for the Mixture of Experts Architecture
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
An experts algorithm for transfer learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An incremental EM-based learning approach for on-line prediction of hospital resource utilization
Artificial Intelligence in Medicine
Choosing among algorithms to improve accuracy
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Performance-enhancing bifurcations in a self-organising neural network
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Mixtures of regressions with predictor-dependent mixing proportions
Computational Statistics & Data Analysis
Asymptotic convergence properties of the em algorithm for mixture of experts
Neural Computation
An efficient EM approach to parameter learning of the mixture of gaussian processes
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Adaptive ensemble classification in p2p networks
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Finite mixtures of unimodal beta and gamma densities and the $$k$$-bumps algorithm
Computational Statistics
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