259 search results - page 4 / 52 » Causal Discovery from Changes |
124
click to vote
JMLR
2006
14 years 9 months ago
2006
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
UAI
2008
14 years 10 months ago
2008
We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
ACL
2000
14 years 10 months ago
2000
This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In...
AIME
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The practice of medicine is becoming increasingly evidencebased and clinical practice guidelines (CPGs) are necessary for advancing evidence-based medicine (EBM). We hypo...
KDD
2003
ACM
15 years 9 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...