On the identifiability of mixtures-of-experts

By Wenxin Jiang, Martin A. Tanner. 1999

Subfields: Probabilistic & Bayesian Methods, Statistical Learning Theory

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. Paul D. Gader
2. Joseph N. Wilson
3. Seniha Esen Yüksel

Citations in the corpus

• Twenty Years of Mixture of Experts (2012, background): “In addition, they showed that ME is identifiable [86] if the experts are ordered and the gate is initialized.”