This paper investigates the influence of different page features on the ranking of search
engine results. We use Google (via its API) as our testbed and analyze the result rankings …

In this paper we tackle a real world problem, the search of a function to evaluate the merits of
beef cattle as meat producers. The independent variables represent a set of live animals' …

Learning preferences is a useful tool in application fields like information retrieval, or system
configuration. In this paper we show a new application of this Machine Learning tool, the …

This paper investigates the influence of different page features on the ranking of search
engine results. We use Google (via its API) as our testbed and analyze the result rankings …

Dans le cadre de la régulation des carrefours à feux et du développement d'outils intégrés
de gestion du trafic, notre recherche consiste à construire un système d'analyse des …

This work deals with the consequences of traffic light control strategies in signalized
intersections on the behavior of users, particularly in terms of risk. Traffic light control …

Learning preferences is a useful task in application fields such as collaborative filtering,
information retrieval, adaptive assistants or analysis of sensory data provided by panels …

We present experimental results on how internet search engines compare with each other
based on their query results. If the relationship between two rankers is substantially different …

Our group has been working in application related to food quality [1, 3]. These area
addressed us to face preferences learning as a natural framework for dealing with the …

El aprendizaje de preferencias es una tarea muy útil que puede resolverse mediante
separadores lineales; el hiperplano obtenido sirve para valorar y preferir entre los objetos …