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5461
Mark my words! Linguistic
In: http://research.microsoft.com/en-us/um/people/sdumais/fr862-danescu-niculescu-mizil.pdf
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5462
CoupledLP: Link Prediction in Coupled Networks
In: http://keg.cs.tsinghua.edu.cn/jietang/publications/kdd15-Dong-et-al-link-prediction-in-coupled-networks.pdf
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5463
2011b. Social Context Summarization
In: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
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5464
The Effects of Feedback on Human Behavior in Social Media: An Inverse Reinforcement Learning Model
In: http://www.cse.wustl.edu/%7Eallenlavoie/papers/reddit.pdf
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5465
ABSTRACT
In: http://www.cs.toronto.edu/~cebly/Papers/limPrecBid-draft.pdf
Abstract: We investigate the design of iterative, limited-precision mechanisms for single-good auctions with dominant strategy equilibria. Our aim is to design mechanisms that minimize the number of bits required to determine approximately optimal allocations by sequentially asking bidders to reveal their valuations with increasing precision, and limiting participation to those bidders who might win. We prove several necessary conditions that severely restrict the space of mechanisms satisfying our criteria. We also study empirically the optimization of the parameters of our sequential mechanisms, and how number of bidders and cost of communication impact expected amount of communication, expected loss in welfare, and other measures. Finally, we show that incremental limited-precision mechanisms offer advantages over fixed, single-shot mechanisms.
Keyword: Categories and Subject Descriptors J.4 [Computer Applications; Distributed Artificial Intelligence—intelligent agents; I.2.11 [Artificial Intelligence; multiagent systems Keywords auctions; Social and Behavioral Sciences— economics
URL: http://www.cs.toronto.edu/~cebly/Papers/limPrecBid-draft.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.5124
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