Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
In this paper, a tool that uses an argumentation based decision making framework is proposed for the construction of mutual fund portfolios. The argumentation framework is employe...
Given that contractor plays a critical role in any construction project, contractor selection constitutes key decision for public authorities. Prequalification, i.e. the eliminati...
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...