Exploració per tema "Finite mixture models"

Ara es mostren els items 1-4 de 4

    • Bayesian model-based clustering for longitudinal ordinal data 

      Costilla, Roy; Liu, Ivy; Arnold, Richard; Fernández Martínez, Daniel (2019-09)
      Article
      Accés obert
      Traditional cluster analysis methods used in ordinal data, for instance k-means and hierarchical clustering, are mostly heuristic and lack statistical inference tools to compare among competing models. To address this we ...

    • Preliminary theoretical results on a feature relevance determination method for Generative Topographic Mapping 

      Vellido Alcacena, Alfredo (2005-04)
      Report de recerca
      Accés obert
      Feature selection (FS) has long been studied in classification and regression problems, following diverse approaches and resulting on a wide variety of methods, usually grouped as either /filters /or /wrappers/. In comparison, ...

    • Robust unsupervised detection of action potentials with probabilistic models 

      Benítez Iglesias, Raúl; Nenadic, Zoran (Institute of Electrical and Electronics Engineers, 2008-04-30)
      Article
      Accés restringit per política de l'editorial
      We develop a robust and fully unsupervised algorithm for the detection of action potentials from extracellularly recorded data. Using the continuous wavelet transform allied to probabilistic mixture models and Bayesian ...

    • Statistical modeling of polarimetric SAR data: a survey and challenges 

      Deng, Xinping; López Martínez, Carlos; Chen, Jinsgon; Han, Pengpeng (2017-04-01)
      Article
      Accés obert
      Knowledge of the exact statistical properties of the signal plays an important role in the applications of Polarimetric Synthetic Aperture Radar (PolSAR) data. In the last three decades, a considerable research effort has ...