Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach

The uMoE model is a powerful method for dealing with uncertain data instances in various applications, including but not limited to financial modeling, medical diagnosis, and natural language processing tasks. It leverages a Mixture of Experts framework, Neural Networks, and Probability Density Functions to make informed predictions while considering the inherent uncertainty in the data.

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