10 search results - page 1 / 2 » Integrating Locally Learned Causal Structures with Overlappi... |
NIPS
2008
13 years 6 months ago
2008
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
JMLR
2010
12 years 11 months ago
2010
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
JMLR
2010
12 years 11 months ago
2010
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
KDD
2003
ACM
14 years 4 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...
NIPS
2007
13 years 6 months ago
2007
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...