Bayesian Networks 2 - Forward-Backward | Stanford CS221: AI (Autumn 2019)

Topics: Bayesian Networks
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University
http://onlinehub.stanford.edu/

Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percy-l...

Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsa-s...
0:00 Introduction
0:23 Review: Bayesian network
1:58 Review: probabilistic inference
8:48 Hidden Markov model inference
31:12 Lattice representation
34:16 Summary
35:38 Hidden Markov models
41:04 Review: beam search
44:49 Step 1: propose
46:04 weight
50:13 Step 3: resample
56:01 Application: object tracking
57:24 Particle filtering demo
59:36 Roadmap
59:39 Gibbs sampling