Sunday, May 1, 2016

 

 



Soy un nuevo usuario

Olvidé mi contraseña

Entrada usuarios

Lógica Matemáticas Astronomía y Astrofísica Física Química Ciencias de la Vida
Ciencias de la Tierra y Espacio Ciencias Agrarias Ciencias Médicas Ciencias Tecnológicas Antropología Demografía
Ciencias Económicas Geografía Historia Ciencias Jurídicas y Derecho Lingüística Pedagogía
Ciencia Política Psicología Artes y Letras Sociología Ética Filosofía


Comparison of a Bayesian SOM with the EM algorithm for Gaussian mixtures

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


  Descargar recurso

Detalles del recurso

Pertenece a: Faculty of Technology ePrints Service  

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.

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. Modelling concept prototype competencies using a developmental memory model The use of concepts is fundamental to human-level cognition, but there remain a number of open quest...
  2. Solid-state self-assembly of a calix[4]pyrrole−resorcinarene hybrid into a hexameric cage The solid-state packing of a two-component mixture consisting of the α,α,α,α steroisomer of a calix[...
  3. Molecular recognition of pyridine N-oxides in water using calix4pyrrole receptors The incorporation of four carboxylic acids or four amino groups to the upper rim of an aryl extended...
  4. Strong and selective anion binding within the central cavity of molecular knots and links A molecular pentafoil knot and doubly and triply entwined [2]catenanes based on circular Fe(II) doub...
  5. Editorial .

Valoración de los usuarios

No hay ninguna valoración para este recurso.Sea el primero en valorar este recurso.
 

Busque un recurso