We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
We study an on-line broadcast scheduling problem in which requests have deadlines, and the objective is to maximize the weighted throughput, i.e., the weighted total length of the ...
Feifeng Zheng, Stanley P. Y. Fung, Wun-Tat Chan, F...
We consider the following scenario. A point robot is placed at some start location ¡ in a 2dimensional scene containing oriented rectangular obstacles. The robot must repeatedly ...
Abstract. In this paper we consider communication issues arising in cellular (mobile) networks that utilize frequency division multiplexing (FDM) technology. In such networks, many...
Ioannis Caragiannis, Christos Kaklamanis, Evi Papa...