Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » NIPS ´08 Workshop: Causality: objectives and assessment

Causal models as conditional density models

author:Kevin P. Murphy, +Departments of Computer Science and Statistics
published: Dec. 20, 2008,   recorded: December 2008,   views: 96
You might be experiencing some problems with Your Video player.

See Also:

Download slides icon Download slides: coa08_murphy_cmcdm_01.pdf (1.8 MB)

Launch Windows Media PlayerLaunch in a standalone WM Player

WMedia PlayerSwitch to Windows Media Player

View slides View slides

Help icon Streaming Video Help

WebLink icon Windows Media Player Firefox Plugin - Download

Related content

Visitors who watched this lecture also watched...
22:22
Beware of the DAG!
170 views - Phil Dawid, 2008
01:27:34
Causal Inference as Computational Learning
273 views - Judea Pearl, 2008
33:59
Causal Structure Search: Philosophical Foundations and Future Problems
114 views - Richard Scheines, Peter Spirtes, 2008
05:22:53
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making
8419 views - Nando de Freitas, 2008
18:36
Distinguishing Causes from Effects using Nonlinear Acyclic Causal Models
125 views - Aapo Hyvärinen, Kun Zhang, Patrik Hoyer, 2008
16:50
When causality matters for prediction:Investigating the practical tradeoffs
83 views - Peter Spirtes, Robert E. Tillman, 2008
14:38
Welcome and program presentation, short overview over the posters
61 views - Dominik Janzing, 2008
21:35
Competition Results
65 views - Isabelle Guyon, 2008
05:15:54
Graphical models
4695 views - Zoubin Ghahramani, 2007
03:54:31
Support Vector Machines
12743 views - Chih-Jen Lin, 2006

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.

Link this page  

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: