	Log in \| Register \|

ICML 2007 - The 24th Annual International Conference on Machine Learning

Bias/variance analysis of relational domains

author: Jennifer Neville, Purdue University

Categories

Top: Computer Science: Machine Learning

You might be experiencing some problems with Your Video player.

*Slides*
0:00	Bias/variance analysis for relational domains
0:48	Comparing relational models
2:41	Conventional bias/variance analysis-part01
3:19	Conventional bias/variance analysis-part02
5:04	Relational inference
7:23	Error due to collective inference
8:22	Relational bias/variance analysis (part 1)
9:29	Bias/variance framework for relational data-part01
9:54	Relational bias/variance analysis (part 2)
10:51	Bias/variance framework for relational data-part02
11:11	Bias/variance framework for relational data-part03
11:35	Relational bias/variance decomposition
12:28	Comparing relational models
13:02	Experimental comparison of relational models
13:26	Findings
14:18	RDN analysis
15:27	RDN modification
16:43	Modified RDN performance on synthetic data
17:15	Modified RDN performance on real data
17:54	Conclusions
19:38	Further information
24:41	RDN analysis-A

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.