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» Causal Discovery from Changes
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SIGDOC
2004
ACM
13 years 11 months ago
Changes in scientific articles over two hundred years: a coh-metrix analysis
We analyzed texts from years 1800-2004 from the Philosophical Transactions of the Royal Society of London. Two-thousand-word sections from about 20 articles published at 25-year i...
Michell Bruss, Michael J. Albers, Danielle McNamer...
IJCAI
2001
13 years 7 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
AAAI
2010
13 years 7 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
IJCAI
1997
13 years 7 months ago
Change, Change, Change: Three Approaches
We consider the frame problem, that is, char­ acterizing the assumption that properties tend to persist over time. We show that there are at least three distinct assumptions that...
Tom Costello
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 5 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock