3 citations · 21 across the 21 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2020
A General Framework for Distributed Inference with Uncertain Models
James Z. Hare, Cesar A. Uribe, Lance Kaplan +1
This paper studies the problem of distributed classification with a network of heterogeneous agents. The agents seek to jointly identify the underlying target class that best descr…
cs.AI2019
Non-Bayesian Social Learning with Uncertain Models
James Z. Hare, Cesar A. Uribe, Lance Kaplan +1
Non-Bayesian social learning theory provides a framework that models distributed inference for a group of agents interacting over a social network. In this framework, each agent it…