Mondrian forests: Efficient random forests for streaming data via Bayesian nonparametrics thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Mondrian forests: Efficient random forests for streaming data via Bayesian nonparametrics

Published on Oct 29, 20148583 Views

Ensembles of randomized decision trees are widely used for classification and regression tasks in machine learning and statistics. They achieve competitive predictive performance and are computati

Related categories

Chapter list

Mondrian Forests: Efficient Online Random Forests00:00
Outline - 100:18
Outline - 200:37
Introduction - 100:39
Introduction - 201:03
Example: Classification tree01:50
Random forest (RF) - 103:36
Random forest (RF) - 204:59
Pros and Cons07:02
Outline - 308:56
Mondrian process08:59
Generative process09:24
Self-consistency of Mondrian process - 111:09
Self-consistency of Mondrian process - 211:26
Self-consistency of Mondrian process - 311:35
Self-consistency of Mondrian process - 412:07
Mondrian trees12:32
Online learning cartoon14:12
Key differences between Mondrian forests and existing online random forests16:50
Outline - 418:48
Experimental setup18:50
Letter19:59
USPS21:39
Satellite Images22:23
DNA22:33
Outline - 523:35
Conclusion23:36
Thank you!24:27