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Probabilistic Network Synchronization

Data Science Machine Learning

Project Overview

Modeling of synchronization networks and algorithm design using data analysis based on probabilistic graphical models & inference algorithms such as:

Key Features

  • Bayesian inference
  • Belief propagation on factor graphs
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