event thumbnail image
Workshops

Metropolis-Hastings Sampling in a FilterBoost Music Classifier

author: Thierry Bertin-Mahieux, University of Montreal
You might be experiencing some problems with Your Video player.
Slides
0:00 Metropolis-Hastings Sampling in a FilterBoost Music Classifier
0:23 Overview
0:45 Automatic Tagging of Music - 1
2:01 Automatic Tagging of Music - 2
2:42 Automatic Tagging of Music - Tag Data
3:34 Automatic Tagging of Music - Our Classification Model
4:08 Automatic Tagging of Music - Our Model
5:10 FilterBoost
5:39 What Is the Problem? - 1
6:09 What Is the Problem? - 2
7:02 Our Solution
7:47 Our Solution - Replace the Oracle/ Filter Pair
8:20 Link with Metropolis-Hastings
9:29 Is it Working? - 1
10:19 Is it Working? - 2
10:39 Computational Gain: AdaBoost vs FilterBoost
11:12 What else Would Work better?`
12:13 - Questions

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

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.

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: