Despite the vast diversity of human languages, specific grammatical patterns appear again and again. A new study reveals that ...
Despite the vast diversity of human languages, specific grammatical patterns appear again and again. A new study reveals that ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.
In A Nutshell Across 75 years and 1,497 lakes, many Michigan fish got smaller, especially the youngest and oldest. How you ...
Chronic low back pain (cLBP) is common. Physiotherapy is frequently indicated as a non-pharmacological management of these patients. Baroncini et al published an article in 'Journal of ...
Add a description, image, and links to the hierarchical-beta-process topic page so that developers can more easily learn about it.
Abstract: In electromagnetic compatibility (EMC) proficiency testing, the stability of the proficiency test item used is of critical importance. Currently, most stability assessments for proficiency ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Abstract: Federated learning (FL) is a distributed machine learning framework where multiple clients collaboratively train a model without sharing their data. Despite advancements, traditional FL ...
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...