A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
Random yield affects production decisions and performances of all parties in a supply chain. We study a simple supply chain with one supplier and one retailer where there is rando...
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rand...
— There has been much recent interest in protocol design for wireless networks based on maximizing a network utility function. A significant advance in recent years is the obser...