Modeling the World Probabilistically using Bayesian Networks in Clojure - Chas Emerick

3,325 views · Published 7 January 2013 · 28:53 · Indexed 28 October 2026

Channel: ClojureTV · 2013 · Science & Technology

Watch on YouTube

Some of the most challenging problems that programs can face include classification, prediction, and making decisions in the face of messy or incomplete observations, data, or understanding. Bayesian networks provide a basis for implementing solutions to many of these sorts of problems, and Clojure offers excellent raw materials for building them. This talk will briefly introduce the concepts of Bayesian probability and networks, demonstrate the usage of an open source generalized Bayesian network modeling library, and discuss its implementation - highlighting the Clojure facilities that made it possible.

More from this channel

• 18:41 Fertile Ground, the Roots of Clojure - Michael Fogus

  ClojureTV

  2,412 views · 17 December 2012

• 39:41 Lisp, Functional Programming, and the State of Flow - Tom Faulhaber

  ClojureTV

  3,393 views · 17 December 2012

• 39:17 Protocol XIII: Clojure Protocols Explained - Sean Devlin

  ClojureTV

  3,183 views · 17 December 2012

• 5:23 Aleph: A Framework for AsynchronousCommunication - Zach Tellman

  ClojureTV

  2,458 views · 17 December 2012

• 26:57 Clojure and Android - Daniel Solano Gomez

  ClojureTV

  3,398 views · 7 January 2013

• 38:24 Performance in the Wild - Craig Andera

  ClojureTV

  1,798 views · 7 January 2013

• 41:18 Concurrent Stream Processing - David McNeil

  ClojureTV

  1,238 views · 7 January 2013

• 42:20 Ousterhout's Dichotomy Isn't (Part 2 of the Simplicity/Power/Focus Series) - Stuart Halloway

  ClojureTV

  2,703 views · 7 January 2013