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ALDT
2011
Springer
200views Algorithms» more  ALDT 2011»
12 years 5 months ago
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs
A variety of preference aggregation schemes and voting rules have been developed in social choice to support group decision making. However, the requirement that participants provi...
Tyler Lu, Craig Boutilier
EMMCVPR
2003
Springer
13 years 10 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
13 years 3 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
CIA
2004
Springer
13 years 10 months ago
A Probabilistic Approach to Predict Peers? Performance in P2P Networks
The problem of encouraging trustworthy behavior in P2P online communities by managing peers’ reputations has drawn a lot of attention recently. However, most of the proposed solu...
Zoran Despotovic, Karl Aberer
ATAL
2010
Springer
13 years 6 months ago
On the role of distances in defining voting rules
A voting rule is an algorithm for determining the winner in an election, and there are several approaches that have been used to justify the proposed rules. One justification is t...
Edith Elkind, Piotr Faliszewski, Arkadii M. Slinko