• BayesProfile: application of bayesian networks to website user tracking 

    Sangüesa I Sole, Ramon; Cortés García, Claudio Ulises; Nicolás, Mario (1998-01)
    Report de recerca
    Accés obert
    Detecting the most probable {it next} page a user is bound to visit inside a website has important practical consequences: it allows to suggest recommendations to the visitors as to which may be the pages of interest to ...
  • Incremental methods for Bayesian network learning 

    Roure Alcobé, Josep; Sangüesa I Sole, Ramon (1999-10)
    Report de recerca
    Accés obert
    Current methods for learning Bayesian Networks are mainly batch methods. That is, they are supposed to act in a single step over the complete set of data. We remark the need to develop new approaches that do not require ...
  • Learning causal networks from data 

    Sangüesa I Sole, Ramon (1996-03)
    Report de recerca
    Accés obert
    Causal concepts play a crucial role in many reasoning tasks. Organized as a model revealing the causal structure of a domain, they can guide inference through relevant knowledge. This is a specially difficult knowledge ...
  • Porqpine: a peer-to-peer search engine 

    Pujol, Josep Maria; Sangüesa I Sole, Ramon; Bermúdez, Juanjo (2003-05)
    Report de recerca
    Accés obert
    In this paper, we present a fully distributed and collaborative search engine for web pages: Porqpine. This system uses a novel query-based model and collaborative filtering techniques in order to obtain user-customize ...
  • Probabilistic conditional independence: a similarity-based measure and its application to causal network learning 

    Sangüesa I Sole, Ramon; Cabós, Joan; Cortés García, Claudio Ulises (1996-06)
    Report de recerca
    Accés obert
    A new definition for similarity between possibility distributions is introduced and discussed as a basis for detecting dependence between variables by measuring the similarity degree of their respective distributions. This ...