no code implementations • 19 Apr 2024 • Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen
We consider the problem of estimating probability density functions based on sample data, using a finite mixture of densities from some component class.
no code implementations • 18 Apr 2021 • TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
This model selection criterion allows us to handle the challenging problem of inferring the number of mixture components, the degree of polynomial mean functions, and the hidden block-diagonal structures of the covariance matrices, which reduces the number of parameters to be estimated and leads to a trade-off between complexity and sparsity in the model.
1 code implementation • 6 Apr 2021 • TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
Mixture of experts (MoE) are a popular class of statistical and machine learning models that have gained attention over the years due to their flexibility and efficiency.