Exploració per autor "Globerson, Amir"

Ara es mostren els items 1-3 de 3

    • Exponentiated gradient algorithms for conditional random fields and max-margin Markov networks 

      Collins, Michael; Globerson, Amir; Koo, Terry; Carreras Pérez, Xavier; Bartlett, Peter (2008-08)
      Article
      Accés obert
      Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of parameters in these models is therefore ...

    • Spectral regularization for max-margin sequence tagging 

      Quattoni, Ariadna Julieta; Balle Pigem, Borja de; Carreras Pérez, Xavier; Globerson, Amir (2014)
      Text en actes de congrés
      Accés obert
      We frame max-margin learning of latent variable structured prediction models as a convex optimization problem, making use of scoring functions computed by input-output observable operator models. This learning problem can ...

    • Structured prediction models via the matrix-tree theorem 

      Koo, Terry; Globerson, Amir; Carreras Pérez, Xavier; Collins, Michael (2007)
      Text en actes de congrés
      Accés obert
      This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how partition functions and marginals for directed ...