LARCA és un grup de recerca de nivell internacional en temes d'aprenentatge i mineria de dades, anàlisi de dades i lingüística matemàtica. Típicament, abordem els problemes des de principis matemàtics sòlids, usant eines de modelització i tècniques de l'algorísmia, complexitat computacional, teoria d'autòmats, lògica, matemàtica discreta, estadística, i sistemes dinàmics. Estem iniciant
col·laboracions amb empreses i altres institucions per tal d'aplicar les nostres solucions al problemes del món real.

http://futur.upc.edu/LARCA

LARCA es un grupo de investigación de nivel internacional en temas de aprendizaje y minería de datos, análisis de datos y lingüística matemática. Típicamente, abordamos los problemas desde principios matemáticos sólidos, usando técnicas de modelización de la algoritmia, la complejidad computacional, teoría de autómatas, lógica, matemática discreta, estadística y sistemas dinámicos. Estamos iniciando colaboraciones con empresas e instituciones para la aplicación de nuestras soluciones a contextos reales.

http://futur.upc.edu/LARCA

LARCA is an international research group working on data mining, machine learning, data analysis, and mathematical linguistics. We typically approach problems from sound mathematical principles, using modelling tools and techniques from algorithmics, computational complexity, automata theory, logic, discrete mathematics, statistics, and dynamic systems. We are also starting partnerships with companies and other institutions to apply our solutions to real-world problems.

http://futur.upc.edu/LARCA

LARCA is an international research group working on data mining, machine learning, data analysis, and mathematical linguistics. We typically approach problems from sound mathematical principles, using modelling tools and techniques from algorithmics, computational complexity, automata theory, logic, discrete mathematics, statistics, and dynamic systems. We are also starting partnerships with companies and other institutions to apply our solutions to real-world problems.

http://futur.upc.edu/LARCA

Enviaments recents

  • 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
    Accés restringit per política de l'editorial
    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, 2019-01-18)
    Article
    Accés restringit per política de l'editorial
    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)
    Capítol de llibre
    Accés obert
    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)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    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)
    Text en actes de congrés
    Accés obert
    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
    Accés obert
    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
    Accés obert
    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
    Accés obert
    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 ...
  • New ensemble methods for evolving data streams 

    Bifet Figuerol, Albert Carles; Holmes, Geoffrey; Pfahringer, Bernhard; Kirkby, R; Gavaldà Mestre, Ricard (Association for Computing Machinery (ACM), 2009)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such data streams evolve over time, that is ...
  • Characterizing covers of functional dependencies using FCA 

    Codocedo, Victor; Baixeries i Juvillà, Jaume; Kaytoue, Mehdi; Napoli, Amedeo (2018)
    Text en actes de congrés
    Accés obert
    Functional dependencies (FDs) can be used for various important operations on data, for instance, checking the consistency and the quality of a database (including databases that contain complex data). Consequently, a ...
  • The origins of Zipf's meaning-frequency law 

    Ferrer Cancho, Ramon; Vitevitch, Michael S. (2018-11)
    Article
    Accés obert
    In his pioneering research, G.K. Zipf observed that more frequent words tend to have more meanings, and showed that the number of meanings of a word grows as the square root of its frequency. He derived this relationship ...
  • A new spectral method for latent variable models 

    Ruffini, Matteo; Casanellas Rius, Marta; Gavaldà Mestre, Ricard (2018-05-22)
    Article
    Accés restringit per política de l'editorial
    We present an algorithm for the unsupervised learning of latent variable models based on the method of moments. We give efficient estimates of the moments for two models that are well known, e.g., in text mining, the ...

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