SlideShare is now on Android. 15 million presentations at your fingertips.  Get the app

×
  • Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
 

Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learning Group)

by on Aug 23, 2013

  • 914 views

Much prior work has shown the practical value of modeling random variables as IID in order to simplify statistical inference, yet prior work has also shown this assumption to be suboptimal in terms of ...

Much prior work has shown the practical value of modeling random variables as IID in order to simplify statistical inference, yet prior work has also shown this assumption to be suboptimal in terms of model performance. Occam’s razor prompts us to simplify explanations, and this talk will present how a very simple transform has been leveraged to improve performance of both generative and discriminative learners, as well as unsupervised learning, in a number of application domains including differentially private community discovery.

Statistics

Views

Total Views
914
Views on SlideShare
135
Embed Views
779

Actions

Likes
0
Downloads
3
Comments
0

8 Embeds 779

http://g33ktalk.com 730
http://www.hakkalabs.co 33
http://www.feedspot.com 8
http://www.newsblur.com 2
http://newsblur.com 2
http://cloud.feedly.com 2
http://feeds.feedburner.com 1
https://hakka.herokuapp.com 1
More...

Accessibility

Categories

Upload Details

Uploaded via SlideShare as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
Post Comment
Edit your comment

Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learning Group) Intuidex - To be or not to be iid by William M. Pottenger (NYC Machine Learning Group) Presentation Transcript