Asymmetric information measures: How to extract knowledge from an expert so 
that the expert's effort is minimal

Nguyen, Hung T.; Kreinovich, Vladik; Kamoroff, Elizabeth

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Asymmetric information measures: How to extract knowledge from an expert so that the expert's effort is minimal

MPS-Authors

/persons/resource/persons235621

Kreinovich, Vladik
Max Planck Institute for Mathematics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Nguyen, H. T., Kreinovich, V., & Kamoroff, E. (2007). Asymmetric information measures: How to extract knowledge from an expert so that the expert's effort is minimal. In Proceedings of the 8th International Conference on Intelligent Technologies (InTech '07) (pp. 136-145).

Cite as: https://hdl.handle.net/21.11116/0000-0004-2B57-B

Abstract

There is no abstract available