The Strength of Weak Learnability
Machine Learning
Original Contribution: Stacked generalization
Neural Networks
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Machine Learning
Optimal linear combinations of neural networks
Neural Networks
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
A new hybrid approach in combining multiple experts to recognise handwritten numerals
Pattern Recognition Letters
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Expert Systems with Applications: An International Journal
Multi-Sensor Data Fusion: An Introduction
Multi-Sensor Data Fusion: An Introduction
A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
A modified mixture of experts network structure for ECG beats classification with diverse features
Engineering Applications of Artificial Intelligence
Artificial Intelligence Review
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
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
Investigation of mixture of experts applied to residential premises valuation
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Several experiments were conducted in order to investigate the usefulness of mixture of experts (ME) approach to an online internet system assisting in real estate appraisal All experiments were performed using 28 real-world datasets composed of data taken from a cadastral system and GIS data derived from a cadastral map The analysis of the results was performed using recently proposed statistical methodology including nonparametric tests followed by post-hoc procedures designed especially for multiple 1×n and n×n comparisons GLM (general linear model) architectures of mixture of experts achieved better results for ME with an adaptive variance parameter for each expert, whereas MLP (multilayer perceptron) architectures - for standard mixtures of experts.