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» Representing Bayesian games without a common prior
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CIKM
2010
Springer
13 years 3 months ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001
SIGECOM
2006
ACM
143views ECommerce» more  SIGECOM 2006»
13 years 11 months ago
The computational complexity of nash equilibria in concisely represented games
Games may be represented in many different ways, and different representations of games affect the complexity of problems associated with games, such as finding a Nash equilib...
Grant Schoenebeck, Salil P. Vadhan
IJAR
2000
140views more  IJAR 2000»
13 years 4 months ago
Belief updating in multiply sectioned Bayesian networks without repeated local propagations
Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...
Yang Xiang
PODC
2010
ACM
13 years 8 months ago
Bayesian ignorance
We quantify the effect of Bayesian ignorance by comparing the social cost obtained in a Bayesian game by agents with local views to the expected social cost of agents having glob...
Noga Alon, Yuval Emek, Michal Feldman, Moshe Tenne...
AAAI
2012
11 years 7 months ago
A Robust Bayesian Truth Serum for Small Populations
Peer prediction mechanisms allow the truthful elicitation of private signals (e.g., experiences, or opinions) in regard to a true world state when this ground truth is unobservabl...
Jens Witkowski, David C. Parkes