Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
Data Mining for Features Using Scale-Sensitive Gated Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training v-support vector regression: theory and algorithms
Neural Computation
A tutorial on support vector regression
Statistics and Computing
Information Sciences: an International Journal
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Adaptive mixtures of local experts
Neural Computation
Expert Systems with Applications: An International Journal
A modified mixture of experts network structure for ECG beats classification with diverse features
Engineering Applications of Artificial Intelligence
Adaptive mixture-of-experts models for data glove interface with multiple users
Expert Systems with Applications: An International Journal
Application of mixture of experts to construct real estate appraisal models
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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Several experiments were conducted in order to investigate the usefulness of mixture of experts approach to an online internet system assisting in real estate appraisal. All experiments were performed using real-world datasets taken from a cadastral system. The analysis of the results was performed using statistical methodology including nonparametric tests followed by post-hoc procedures designed especially for multiple 1×N and N×N comparisons. The mixture of experts architectures studied in the paper comprised: four algorithms used as expert networks: glm --- general linear model, mlp --- multilayer perceptron and two support vector regression ε-SVR and ν-SVR as well as and three algorithms glm, mlp, and gmm --- gaussian mixture model employed as gating networks.