In this paper, we consider the design of an agent that is able to autonomously make optimal bundling decisions when selling multiple heterogeneous items within existing online auc...
Ioannis A. Vetsikas, Alex Rogers, Nicholas R. Jenn...
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
We consider the problem of scheduling a set of equal-length intervals arriving online, where each interval is associated with a weight and the objective is to maximize the total we...
Stanley P. Y. Fung, Chung Keung Poon, Feifeng Zhen...
Abstract. Many online problems encountered in real-life involve a twostage decision process: upon arrival of a new request, an irrevocable firststage decision (the assignment of a...
Stefan Heinz, Sven Oliver Krumke, Nicole Megow, J&...
The dynamic TCP acknowledgement problem formulated by Dooly et al. has been intensively studied in the area of competitive analysis. However, their framework does not consider the ...