Feature Acquisition using Monte Carlo Tree Search

no code implementations • 21 Dec 2022 • Sungsoo Lim, Diego Klabjan, Mark Shapiro

Feature acquisition algorithms address the problem of acquiring informative features while balancing the costs of acquisition to improve the learning performances of ML models.

Weight Set Decomposition for Weighted Rank Aggregation: An interpretable and visual decision support tool

no code implementations • 31 May 2022 • Tyler Perini, Amy Langville, Glenn Kramer, Jeff Shrager, Mark Shapiro

This paper describes a new tool for visualizing and displaying ranking information for the weighted rank aggregation method.