Abstract—In transportation network research, the main approach for predicting traffic distribution due to noncooperative vehicle choices has been through fluid type models. The...
While Moore’s Law predicts the ability of semi-conductor industry to engineer smaller and more efficient transistors and circuits, there are serious issues not contemplated in t...
Javier Carretero, Pedro Chaparro, Xavier Vera, Jau...
We study online pricing problems in markets with cancellations, i.e., markets in which prior allocation decisions can be revoked, but at a cost. In our model, a seller receives re...
Moshe Babaioff, Jason D. Hartline, Robert D. Klein...
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...