Scaling Probabilistic Inference through Message Contraction Optimization
Within the realm of probabilistic graphical models, message-passing algorithms offer a powerful framework for efficient inference. When dealing with discrete variables, these …
Partial Evaluation in Junction Trees
One prominent method to perform inference on probabilistic graphical models is the *probability propagation in trees of clusters* (PPTC) algorithm. In this paper, we demonstrate …
Real-Time Audio Processing for Hearing Aids Using a Model-Based Bayesian Inference Framework
Development of hearing aid (HA) signal processing algorithms entails an iterative process between two design steps, namely algorithm development and the embedded implementation. …
Learning Where to Park
We consider active inference as a novel approach to the design of synthetic autonomous agents. In order to assess active inference’s feasibility for real-world applications, we …
Burak ergul
Bird in the Hand: An Electronic Field Guide App for Bird Watchers
This article documents the design and implementation of an electronic field guide for bird watchers-named RB Birds-developed to run on mobile smart phones and aimed at looking up, …