1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario registrado en Universia


Opción 1: Descargar recurso

Detalles del recurso

Descripción

A Bayesian SOM (BSOM) [8], is proposed and applied to the unsupervised learning of Gaussian mixture distributions and its performance is compared with the expectation-maximisation (EM) algorithm. The BSOM is found to yield as good results as the well-known EM algorithm but with much fewer iterations and, more importantly it can be used as an on-line training method. The neighbourhood function and distance measures of the traditional SOM [3] are replaced by the neuron's on-line estimated posterior probabilities, which can be interpreted as a Bayesian inference of the neuron's opportunity to share in the winning response and so to adapt to the input pattern. Such posteriors starting from uniform priors are gradually sharpened when more and more data samples become available and so improve the estimation of model parameters. Each neuron then converges to one component of the mixture. Experimental results are compared with those of the EM algorithm.

Pertenece a

Faculty of Technology ePrints Service  

Autor(es)

Yin, Hujun -  Allinson, Nigel - 

Id.: 55198554

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveG400 Computer Science - 

Tipo de recurso: Conference or Workshop Item  -  PeerReviewed  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [References] http://users.ics.tkk.fi/wsom97/program.html
[References] http://eprints.lincoln.ac.uk/5020/

Fecha de contribución: 13-oct-2012

Contacto:

Localización:
* Yin, Hujun and Allinson, Nigel (1997) Comparison of a Bayesian SOM with the EM algorithm for Gaussian mixtures. In: Workshop on Self-Organising Maps (WSOM'97), 4-6 June 1997, Helsinki, Finland.

Otros recursos del mismo autor(es)

  1. One hundred engineering ideas that changed the world The above year-long exhibition organised by the Institution of Engineering and Technology for their...
  2. Method and apparatus for proton computed tomography A method of reconstructing a 3-dimensional image in a proton transmission computerised tomography (C...
  3. Assembly, apparatus, system and method (PRaVDA range telescope) Some embodiments of the present invention provide apparatus for detecting particles of radiation com...
  4. Assembly, apparatus, system and method (PRaVDA strip detector) Some embodiments of the present invention provide a 2D position-sensitive detector assembly comprisi...
  5. Assembly, apparatus, system and method (multi mode CT scanner) Some embodiments of the present invention provide apparatus having a particle beamline for passage o...

Otros recursos de la misma colección

  1. A longitudinal study of perceived health during pregnancy: antecedents and outcomes Perceived health was studied longitudinally in a sample of 364 nulliparous women. Psychosocial, cont...
  2. La vision du passé dans les écrits d’Isidore de Séville This article explores the scope and type of Isidore's various historical writings.
  3. Re-creating early modern festivals In recent years, there has been an increasing interest in Early Modern Festivals. Early Modern Festi...
  4. Towards a compatible landscape in Malaysia: an idea, challenge and imperatives In Malaysia, awareness of the need to enhance quality of life has led to the ecological development ...
  5. Smoking during pregnancy and hyperactivity-inattention in the offspring: comparing results from three Nordic cohorts Background Prenatal exposure to smoking has been associated with Attention Deficit Hyperactivity Dis...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.