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» Modeling volatility in prediction markets
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ICANN
2001
Springer
14 years 1 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
UM
2010
Springer
14 years 1 months ago
Modeling Long-Term Search Engine Usage
Search engines are key components in the online world and the choice of search engine is an important determinant of the user experience. In this work we seek to model user behavio...
Ryen W. White, Ashish Kapoor, Susan T. Dumais
CORR
2011
Springer
136views Education» more  CORR 2011»
13 years 15 days ago
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
Craig Boutilier
ICTAC
2005
Springer
14 years 2 months ago
Stochastic Analysis of Graph Transformation Systems: A Case Study in P2P Networks
In distributed and mobile systems with volatile bandwidth and fragile connectivity, non-functional aspects like performance and reliability become more and more important. To forma...
Reiko Heckel
HPCA
2008
IEEE
14 years 3 months ago
Prediction of CPU idle-busy activity pattern
Real-world workloads rarely saturate multi-core processor. CPU C-states can be used to reduce power consumption during processor idle time. The key unsolved problem is: when and h...
Qian Diao, Justin J. Song