Sentence examples for mixture of expert from inspiring English sources

As a result, across the five rules, the researchers utilised a mixture of expert opinion from academics and statistical significance.

Table 4 Obtained results of LBP features Researchers Method Accuracy Polat et al. [22] FFT, decision tree 98.72 Subasi [6] DWT, mixture of expert model.

A normal hidden Markov model is constructed in the way shown in Figure 5, with each phoneme being modelled as a mixture of expert models.

For individual credit, Desai et al. 1996 used a multi-layer perceptron neural network (i.e., a mixture of expert neural networks) for individual credit and found that neural network models outperform linear discriminant analysis and logistic regression models.

In order to address the impact of perturbation on state estimation, an adaptive estimator based on modified mixture-of-expert framework is given.

This dynamic weighting is closely related to gating in a mixture-of-experts architecture.

Furthermore, a hierarchical motion controller is proposed by dividing the controller into multiple sub-controllers using a mixture-of-experts framework to further alleviate the computational cost.

West 2000 used five neural network models: multi-layer perceptron, mixture-of-experts, radial basis function, learning vector quantization, and fuzzy adaptive resonance for individual credit.

This paper investigates the credit scoring accuracy of five neural network models: multilayer perceptron, mixture-of-experts, radial basis function, learning vector quantization, and fuzzy adaptive resonance.

Both the original ENRBF model and the new proposed ENRBF classifier (ENRBFC) can be viewed as the special cases of the mixture-of-experts (ME) model that is discussed in Xu et al. [An alternative model for mixtures of experts, in: Advances in Neural Information Processing Systems, MIT Press, Cambridge, MA, 1995].

Results demonstrate that the multilayer perceptron may not be the most accurate neural network model, and that both the mixture-of-experts and radial basis function neural network models should be considered for credit scoring applications.