Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
We discuss tournaments in terms of their efficiency as probabilistic mechanisms that select high-quality alternatives ("players") in a noisy environment. We use two crit...
To improve search efficiency and reduce unnecessary traffic in Peerto-Peer (P2P) networks, this paper proposes a trust-based probabilistic search algorithm, called preferential wa...
We study the problem of adding k new links to a directed graph G(V, E) in order to maximize the minimum PageRank value for a given subset of the nodes. We show that this problem is...