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EMNLP
2008
15 years 8 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
IJCAI
2007
15 years 8 months ago
Memory-Bounded Dynamic Programming for DEC-POMDPs
Decentralized decision making under uncertainty has been shown to be intractable when each agent has different partial information about the domain. Thus, improving the applicabil...
Sven Seuken, Shlomo Zilberstein
IJCAI
2007
15 years 8 months ago
Vote and Aggregation in Combinatorial Domains with Structured Preferences
In many real-world collective decision problems, the set of alternatives is a Cartesian product of finite value domains for each of a given set of variables. The prohibitive size...
Jérôme Lang
UAI
2008
15 years 8 months ago
On Identifying Total Effects in the Presence of Latent Variables and Selection bias
Assume that cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model We consider the identi...
Manabu Kuroki, Zhihong Cai
AAAI
2006
15 years 8 months ago
Improved Bounds for Computing Kemeny Rankings
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One voting rule of particular interest is the Kemeny rule, which minimizes the...
Vincent Conitzer, Andrew J. Davenport, Jayant Kala...