
Introduction.- Background.- Hardware-Aware Cost Models.- Hardware-Aware Bayesian Networks for Sensor Front-End Quality Scaling.- Hardware-Aware Probabilistic Circuits.- Run-Time Strategies.- Conclusions.

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine...