We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
A good clustering performance depends on the quality of the distance function used to asses similarity. In this paper we propose a pairwise document coreference model to improve pe...
Iustin Dornescu, Constantin Orasan, Tatiana Lesnik...
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch req...
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...