Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
An Approximate Nonmyopic Computation for Value of Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Utility based sensor selection
Proceedings of the 5th international conference on Information processing in sensor networks
Integrating learning from examples into the search for diagnostic policies
Journal of Artificial Intelligence Research
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Bayes nets in educational assessment: Where the numbers come from
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Myopic value of information in influence diagrams
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Adaptive diagnosis in distributed systems
IEEE Transactions on Neural Networks
Optimal value of information in graphical models
Journal of Artificial Intelligence Research
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
| Hi-index | 0.00 |
Adopting a decision-theoretic perspective, we investigate the problem of optimal testing of structured knowledge - the canonical example being a qualifying examination of a graduate student. The setting is characterized by several factors: examinee's knowledge structured around several inter-dependent topics, a limited "budget" of questions available to the examiner, a decision to be made (pass/fail), and an utility for good and bad decisions. The existence of multiple professors brings up additional issues such as committee formation, and the existence of multiple students brings up issues such as fairness.