Download ANU July2001 Tutorial 4 PDF Free - Full Version
Download ANU July2001 Tutorial 4 by ['Joao'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About ANU July2001 Tutorial 4
This document provides an overview of a Bayesian AI tutorial that covers: 1. An introduction to Bayesian AI and reasoning under uncertainty using probabilities. 2. Bayesian networks and their use in representing probabilistic relationships. 3. Applications of Bayesian networks. 4. Learning Bayesian networks from data and current research issues in Bayesian AI. The tutorial includes sections on Bayesian philosophy, decision theory, Bayes' theorem, conditional probability, and comparing Bayesian approaches to other representations of uncertainty like fuzzy logic and default logic.
Detailed Information
| Author: | ['Joao'] |
|---|---|
| Publication Year: | 2008 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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