We model a document treatment chain as a Markov Decision Process, and use
reinforcement learning to allow the agent to learn to construct and continuously improve …

This paper addresses a problem of recognizing human actions in video sequences. Recent
studies have shown that methods which use bag-of-features and space-time features …

In ubiquitous computing environments, computers are embedded into everyday lives to
provide information anywhere and at any time. Pervasive computing assists us in our …

Nous nous intéressons au problème de l'amélioration continue d'une chaîne de traitement
de documents, visant à extraire des événements dans des documents provenant de sources …

We model a document treatment chain as a Markov Decision Process, and use
reinforcement learning to allow the agent to learn to construct and continuously improve …

Abstract Information extraction (IE) is defined as the identification and extraction of elements
of interest, such as named entities, their relationships, and their roles in events. For example …

Information extraction (IE) is defined as the identification and extraction of elements of
interest, such as named entities, their relationships, and their roles in events. For example, a …