Optimizing Mixtures of Local Experts in Tree-Like Regression Models

M.B.L.A. Siek (Indonesia) and D.P. Solomatine (The Netherlands)


Machine learning, mixtures, local models, regression.


A mixture of local experts consists of a set of specialized models each of which is responsible for a particular local region of input space. Many algorithms in this class, for example M5 model tree, are sub-optimal (greedy). An algorithm for building optimal local mixtures of regression experts is proposed, and compared to MLP ANN on a number of cases.

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