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AAAI
2010
13 years 11 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...
AAAI
2010
13 years 10 months ago
Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations
When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As proba...
Jianbing Ma, Weiru Liu, Anthony Hunter
AAAI
2010
13 years 11 months ago
Envy Quotes and the Iterated Core-Selecting Combinatorial Auction
Using a model of agent behavior based around envy-reducing strategies, we describe an iterated combinatorial auction in which the allocation and prices converge to a solution in t...
Abraham Othman, Tuomas Sandholm
AAAI
2010
13 years 11 months ago
New Mini-Bucket Partitioning Heuristics for Bounding the Probability of Evidence
Mini-Bucket Elimination (MBE) is a well-known approximation algorithm deriving lower and upper bounds on quantities of interest over graphical models. It relies on a procedure tha...
Emma Rollon, Rina Dechter
AAAI
2010
13 years 11 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa