We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
—The design of optimal opportunistic multicast scheduling (OMS) that maximizes the throughput of cellular networks is investigated. In a cellular network, the base station (BS) t...
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
— Most of existing search algorithms for unstructured peer-to-peer (P2P) systems share one common approach: the requesting node sends out a query and the query message is repeate...