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Opportunistic Network (OppNet) is an emerging communication paradigm, by which nodes inside forward messages through personal contact opportunities. Recently, numerous studies have focused on predicting nodes meeting to promote routing efficiency and reduce transmission delay. However, individual privacy would likely be revealed to strangers or attackers during the execution of prediction. In this...
A delay/disruption tolerant network (DTN) architecture where a “store-carry-forward” strategy is adopted for data transmissions can be utilized in vehicular ad hoc networks (VANETs). The key point of routing in DTN-enabled VANETs is to choose the best node and determine the best time to forward messages. Time-space graph models provide an idea of converting the dynamic routing problems into static...
In general, users usually rate items according to interestingness of some features in items on the internet. Considering competitive relationships of ratings on one user interest level and context information of the item content features, this paper proposes an approach to predict items' ratings basing on paired comparisons of different rating items with bigram content features. In the paper, we assume...
Recently, a semi-supervised learning algorithm called ASO (Alternating Structure Optimization) has been proposed, which belongs to linear structural learning. It utilizes a number of auxiliary problems (APs) with unlabelled data and then extracts common structural parameter of APs to improve the performances of the target problems (TPs). How to select the appropriate APs is the keystone of ASO algorithm...
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