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- W2108075847 abstract "We present an algorithm for inferring the parameter and model structure of a mixture of experts model (MoE) based on the variational Bayesian (VB) framework. First in the VB framework, we show that the model parameter and structure of a MoE can be simultaneously optimized by maximizing an objective function derived in this paper. Next, we present a deterministic algorithm to find the optimal number of experts of an MoE while avoiding local maxima. Our experimental results demonstrate the practical usefulness of the method." @default.
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- W2108075847 date "2002-11-08" @default.
- W2108075847 modified "2023-10-16" @default.
- W2108075847 title "Optimal model inference for Bayesian mixture of experts" @default.
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- W2108075847 doi "https://doi.org/10.1109/nnsp.2000.889405" @default.
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