For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BklVrc
Topics: Beam search, local search, conditional independence, variable elimination
Reid Pryzant, PhD Candidate & Head Course Assistant
http://onlinehub.stanford.edu/
To follow along with the course schedule and syllabus, visit:
https://stanford-cs221.github.io/autumn2019/#schedule
0:00 Introduction
0:34 Review: definition
1:39 Factor graph (example)
7:01 Review: backtracking search
8:42 Example: object tracking
8:59 Modeling object tracking
11:58 [Background] [Documentation] // Object tracking example
22:06 Beam search properties
36:12 Motivation
38:47 Non-independence
44:22 Conditioning: example
48:13 Markov blanket
50:20 Using conditional independence
57:04 Conditioning versus elimination
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