We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This ...
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Y...
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
This paper presents a method to optimize the timeout value of computing jobs. It relies on a model of the job execution time that considers the job management system latency throu...
We study coalitional games where the value of cooperation among the agents are solely determined by the attributes the agents possess, with no assumption as to how these attribute...