Publications [#330672] of Cynthia D. Rudin

Papers Published

1. Tulabandhula, T; Rudin, C; Jaillet, P, The machine learning and traveling repairman problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6992 LNAI (October, 2011), pp. 262-276, Springer Berlin Heidelberg, ISBN 9783642248726 [doi]
   (last updated on 2024/04/24)

   Abstract:
   The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a "repair crew," which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but the failure probabilities are not known and must be estimated. If there is uncertainty in the failure probability estimates, we take this uncertainty into account in an unusual way; from the set of acceptable models, we choose the model that has the lowest cost of applying it to the subsequent routing task. In a sense, this procedure agrees with a managerial goal, which is to show that the data can support choosing a low-cost solution. © 2011 Springer-Verlag.