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Scheduling with uncertain resources: Learning to ask the right questions

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4 Author(s)
Carpentier, A. ; Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA ; Sharifi, M. ; Fink, E. ; Carbonell, J.G.

We consider the task of scheduling a conference based on incomplete information about resources and constraints, which requires elicitation of additional data, and describe a learning procedure that improves elicitation strategies. We outline the representation of incomplete knowledge, and then describe an adaptive elicitation procedure, which learns to identify critical missing data.

Published in:

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Date of Conference:

12-15 Oct. 2008