Classifier Weighted Mixture Models
Abstract
This paper proposes an extension of standard mixture stochastic models, by replacing the constant mixture weights with functional weights defined using a classifier. Classifier Weighted Mixtures enable straightforward density evaluation, explicit sampling, and enhanced expressivity in variational estimation problems, without increasing the number of components nor the complexity of the mixture components.
Fields of Study & Subjects
Bayesian Methods and Mixture Models
Publication details
- Journal / source
- IEEE Signal Processing Letters
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 33
- Pages
- 2230–2234
- Publication date
- 1 January 2026
- Language
- EN