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Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions.^[1] MoE represents a form of ensemble learning.^[2] They were also called committee machines.^[3]

^ Baldacchino, Tara; Cross, Elizabeth J.; Worden, Keith; Rowson, Jennifer (2016). "Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems". Mechanical Systems and Signal Processing. 66–67: 178–200. Bibcode:2016MSSP...66..178B. doi:10.1016/j.ymssp.2015.05.009.
^ Rokach, Lior (November 2009). Pattern Classification Using Ensemble Methods. Series in Machine Perception and Artificial Intelligence. Vol. 75. WORLD SCIENTIFIC. p. 142. doi:10.1142/7238. ISBN 978-981-4271-06-6. Retrieved 14 November 2024.
^ TRESP, V. (2001). "Committee Machines". Committe Machines. Electrical Engineering & Applied Signal Processing Series. Vol. 5. doi:10.1201/9781420038613.ch5. ISBN 978-0-8493-2359-1. {{cite book}}: |journal= ignored (help)