Meeting Announcement for my presentation at IEEE-CS Dayton Chapter Meeting

Dayton Chapter Meeting
Tuesday, June 21, 2011
What is a Bayesian Network and why would a Computer Scientist care?

TOPIC: Bayesian networks
SPEAKER: Brian O’Keefe, InfoSciTex Corp
DATE: Tuesday, June 21, 2011
TIME: 11:30-12:30 PM
PLACE: InfoSciTex (Different location from 2010)
4027 Colonel Glenn Hwy, Suite 210
Dayton, OH 45431-1672
Just West of intersection with National Rd/Grange Hall Rd, in Signal Hill TechneCenter (building 4027 is the left-most of the 3 buildings)
RSVP: Dave Perez, or (937) 904-5486. Pizza and soft drinks provided for $3/person - RSVP (Name, e-mail, phone, citizenship, IEEE member?, CompSoc?, pizza?) required. Meeting open to all.

ABSTRACT: Artificial Intelligence, Data Mining, Cognitive Systems, Simulation…all terms that you come across in the computing world often and all heavily reliant upon statistical reasoning. Beyond computing, University of Michigan Psychologist Richard E. Nisbett wrote an article in Science magazine demonstrating that even relatively brief training on statistical reasoning may improve the quality of everyday decision making.

Bayes’ Theorem is widely accepted as the theoretically sound approach to represent and reason under uncertainty. An application of Bayes’ Theorem, Bayesian Networks, are probabilistic graphical models used across a wide variety of applications such as bioinformatics, medicine, information retrieval and classification, data fusion, decision support systems, and gaming.

The goal of this presentation is to show that and “directed acyclical graphs” are much simpler to understand than you might believe. A Bayesian Network’s graphical presentation is very intuitive and even a limited knowledge of statistics provides enough foundation to use them for your own decision analysis and planning.

This presentation will begin with a very understandable demonstration of Bayes’ theorem, will follow with an intuitive Bayesian Network example to demonstrate the theory, and conclude with real world Bayesian examples, both from the speaker’s past work, and other common applications you may not even realize touch your life every day, such as spam filtering.

BIO: Brian O’Keefe is a Team Leader of Software Systems and IT for the National Security Systems division of Infoscitex Corporation. Mr. O’Keefe received a B.S. in Computer Science in 1999 and taught himself the world of Bayesian Networks despite having no Mathematics degree, demonstrating that it isn’t as hard as it looks! Having researched the application of Bayesian Networks in a wide assortment of applications ranging from route planning to biosurveillance to counterinsurgency, and having spoken and trained others in a variety of topics including data warehousing, product SDKs, object-oriented programming, and Bayesian Networks, he hopes not to disappoint!