This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Abstract: In this paper, we criticise the objectivistic approach that underlies most current systems for Knowledge Management. We show that such an approach is incompatible with th...