EPISODE · Sep 3, 2014 · 30 MIN
LM101-008: How to Represent Beliefs Using Probability Theory
Episode Summary: This episode focusses upon how an intelligent system can represent beliefs about its environment using fuzzy measure theory. Probability theory is introduced as a special case of fuzzy measure theory which is consistent with classical laws of logical inference.
Embed this episode
NOW PLAYING
LM101-008: How to Represent Beliefs Using Probability Theory
0:00
30:41
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
Frequently Asked Questions
How long is this episode of Learning Machines 101?
This episode is 30 minutes long.
When was this Learning Machines 101 episode published?
This episode was published on September 3, 2014.
Can I download this Learning Machines 101 episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!