Nature

Finite Mixture Models and Hidden Markov Models

Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
Hosted on MSN

Meta debuts its first 'mixture of experts' models from the Llama 4 herd

Meta has debuted the first two models in its Llama 4 family, its first to use mixture of experts tech.… A Saturday post from the social media giant announced the release of two models: Mixture of ...
JSTOR Daily

A hierarchical N-mixture model to estimate behavioral variation and a case study of Neotropical birds

Understanding how and why animals use the environments where they occur is both foundational to behavioral ecology and essential to identify critical habitats for species conservation. However, some ...
JSTOR Daily

A Bayesian sparse finite mixture model for clustering data from a heterogeneous population

In this paper, we introduce a Bayesian approach for clustering data using a sparse finite mixture model (SFMM). The SFMM is a finite mixture model with a large number of components k previously fixed ...
InfoQ

From "Simple" Fine-Tuning to Your Own Mixture of Expert Models Using Open-Source Models

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...