Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
An Approximate Nonmyopic Computation for Value of Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Active Sampling for Class Probability Estimation and Ranking
Machine Learning
Active learning with statistical models
Journal of Artificial Intelligence Research
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Decision Support Systems
Efficiently learning the accuracy of labeling sources for selective sampling
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Repeated labeling using multiple noisy labelers
Data Mining and Knowledge Discovery
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How much is information worth? In the context of decisions, the value of information is the expected increase in utility of the decision as a result of having the information. When the information might be noisy, the model is slightly more complicated. We develop a model of the value of noisy information in the context of a plausible intelligence information gathering and decision making scenario.