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- research-articleOctober 2017
Using Experts’ Noisy Quantile Judgments to Quantify Risks: Theory and Application to Agribusiness
Operations Research (OPRH), Volume 65, Issue 5Pages 1115–1130https://doi.org/10.1287/opre.2017.1627Motivated by a unique agribusiness setting, this paper develops an optimization-based approach to estimate the mean and standard deviation of probability distributions from noisy quantile judgments provided by experts. The approach estimates the mean and ...
- research-articleOctober 2008
How does clickthrough data reflect retrieval quality?
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge managementPages 43–52https://doi.org/10.1145/1458082.1458092Automatically judging the quality of retrieval functions based on observable user behavior holds promise for making retrieval evaluation faster, cheaper, and more user centered. However, the relationship between observable user behavior and retrieval ...
- articleAugust 2007
Second-order uncertainty calculations by using the imprecise Dirichlet model
Intelligent Data Analysis (INDA), Volume 11, Issue 3Pages 225–244Natural extension is a powerful tool for combining the expert judgments in the framework of imprecise probability theory. However, it assumes that every judgment is "true" and this fact leads to some difficulties in many applications. Therefore, a ...
