Introduction to Bayesian Networks with Jhonatan de Souza Oliveira

Last Updated on August 16, 2020

This post is a spotlight interview with Jhonatan de Souza Oliveira on the topic of Bayesian Networks.

Could you please introduce yourself?

My name is Jhonatan Oliveira and I am an undergraduate student in Electrical Engineering at the Federal University of Vicosa, Brazil. I have been interested in Artificial Intelligence since the beginning of college, when had my first adventure investigating and building a simple chatbot for a Symposium website. I also am a member of an autonomous robot soccer team called “BDP – Believe, Do and Play”, where we research and develop technologies for the RoboCup category called “Small Size League”.

In late 2012, I got a scholarship for a exchange program through a Brazilian government program called “Science Without Borders“. I went to University of Regina, where I could have the pleasure of meet Dr. Cory Butz, a well known Bayesian Network researcher.

Since then, I have been developing research in Bayesian Networks inference and modeling with Dr. Butz and a Brazilian friend, Andre Evaristo.

What are Bayesian Networks?

In general, Bayesian Networks (BNs) is a framework for reasoning under uncertainty using probabilities. More formally,
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