Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Comparing Causal Bayesian Networks Estimated from Data
Sisi Ma
,
Roshan Tourani
Institute for Health Informatics
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Comparing Causal Bayesian Networks Estimated from Data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Bayesian Networks
100%
Sample Size
26%
Resampling
25%
Performance Metrics
17%
Network Structure
14%
Confidence
12%
Drugs
11%
Bootstrap
10%
Similarity
9%
Covering
9%
Knowledge
8%
Sufficient
8%
Distinct
7%
Unknown
7%
Design
7%
Range of data
7%
Relationships
6%
Estimate
5%
Engineering & Materials Science
Bayesian networks
81%
Physics & Astronomy
drugs
11%
confidence
10%
estimating
10%
coverings
9%
estimates
6%
performance
5%