528 search results - page 7 / 106 » Causal inference using the algorithmic Markov condition |
JMLR
2008
14 years 9 months ago
2008
Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are often interested in predicting the probability distr...
IJUFKS
2000
14 years 9 months ago
2000
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
NIPS
2004
14 years 11 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
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SIGMOD
2011
ACM
14 years 17 days ago
2011
ACM
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
VLDB
1998
ACM
15 years 1 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...