Now showing items 13-24 of 248

  • Forecasting financial time series with Multiple Kernel Learning 

    Fábregues, Luis; Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio (2017)
    Conference lecture
    Restricted access - publisher's policy
    This paper introduces a forecasting procedure based on mul-tivariate dynamic kernels to re-examine –under a non linear framework–the experimental tests reported by Welch and Goyal showing that severalvariables proposed in ...
  • The Greedy Algorithm and the Cohen-Macaulay property of rings, graphs and toric projective curves 

    Arratia Quesada, Argimiro Alejandro (Springer, 2018)
    Part of book or chapter of book
    Restricted access - publisher's policy
    It is shown in this paper how a solution for a combinatorial problem obtained from applying the greedy algorithm is guaranteed to be optimal for those instances of the problem that, under an appropriate algebraic representation, ...
  • Improving adaptation and interpretability of a short-term traffic forecasting system 

    Mena Yedra, Rafael; Casas Vilaró, Jordi; Djukic, Tamara; Gavaldà Mestre, Ricard (2017)
    Conference report
    Open Access
    Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key ...
  • Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning 

    Mena Yedra, Rafael; Casas Vilaró, Jordi; Gavaldà Mestre, Ricard (Elsevier, 2018-12-04)
    Article
    Open Access
    Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic ...
  • An evaluation of equity premium prediction using multiple kernel learning with financial features 

    Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio; Fábregues, Luis (2019-01-09)
    Article
    Restricted access - publisher's policy
    This paper introduces and extensively explores a forecasting procedure based on multivariate dynamic kernels to re-examine –under a non-linearframework– the experimental tests reported by Welch and ...
  • Parsing/theorem-proving for logical grammar CatLog3 

    Morrill, Glyn (Springer, 2019-06)
    Article
    Restricted access - publisher's policy
    CatLog3 is a 7000 line Prolog parser/theorem-prover for logical categorial grammar. In such logical categorial grammar syntax is universal and grammar is reduced to logic: an expression is grammatical if and only if an ...
  • Enrico Fermi : de les partícules a l'astrofísica 

    Hernández Fernández, Antonio (2018-12)
    Part of book or chapter of book
    Open Access
    Enrico Fermi (1901-1954) va revolucionar la física del segle XX tot capitanejant el desenvolupament de la física nuclear i de partícules, disciplines que, com veurem, va connectar amb l’astronomia, entre d’altres matèries, ...
  • Web apps and imprecise probabilities 

    Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (Springer, 2018)
    Conference report
    Open Access
    We propose a model for the behaviour of Web apps in the unreliable WWW. Web apps are described by orchestrations. An orchestration mimics the personal use of the Web by defining the way in which Web services are invoked. ...
  • Power to invest 

    Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (2018)
    Conference report
    Open Access
    In this post recession time it is important to measure the possibilities offered by a society in relation to investments. To do that, we consider an investment schema I= (R;R_1,...,R_n) where R is a lower bound on the ...
  • Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data 

    Valdés, María Gabriela; Galván Femenía, Iván; Ribas Ripoll, Vicent; Duran Albareda, Xavier; Yokota, Jun; Gavaldà Mestre, Ricard; Rafael-Palou, Xavier; de Cid, Rafael (2018-11-20)
    Article
    Open Access
    Background: During the last decade, the interest to apply machine learning algorithms to genomic data has increased in many bioinformatics applications. Analyzing this type of data entails difficulties for managing ...
  • José María de Oleza Arredondo, S.J. (1887-1975) 

    Hernández Fernández, Antonio; Ferrer Cancho, Ramon (RAM-Verlag, 2018-05)
    Article
    Open Access
    A short piece on the life of José María de Oleza Arredondo S.J., one of the founders of Quantitative Linguistics in Catalonia
  • Neighborhood-based stopping criterion for contrastive divergence 

    Romero Merino, Enrique; Mazzanti Castrillejo, Fernando Pablo; Delgado Pin, Jordi (2018-07)
    Article
    Open Access
    Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Divergence (CD) learning algorithm, an ...