Improving web learning through model optimization using bootstrap for a tour-guide robot

León, Rafael and Rainer Granados, José Javier and Rojo, José Manuel and Galán López, Ramón (2012). Improving web learning through model optimization using bootstrap for a tour-guide robot. "International Journal of Artificial Intelligence and Interactive Multimedia", v. 1 (n. 6); pp. 13-19. ISSN 1989-1660. https://doi.org/10.9781/ijimai.2012.162.

Description

Title: Improving web learning through model optimization using bootstrap for a tour-guide robot
Author/s:
  • León, Rafael
  • Rainer Granados, José Javier
  • Rojo, José Manuel
  • Galán López, Ramón
Item Type: Article
Título de Revista/Publicación: International Journal of Artificial Intelligence and Interactive Multimedia
Date: September 2012
ISSN: 1989-1660
Volume: 1
Subjects:
Freetext Keywords: Bootstrap, Knowledge Management, Patterns Mining, Supervised Learning, Web Classifiers, Web Mining
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We perform a review of Web Mining techniques and we describe a Bootstrap Statistics methodology applied to pattern model classifier optimization and verification for Supervised Learning for Tour-Guide Robot knowledge repository management. It is virtually impossible to test thoroughly Web Page Classifiers and many other Internet Applications with pure empirical data, due to the need for human intervention to generate training sets and test sets. We propose using the computer-based Bootstrap paradigm to design a test environment where they are checked with better reliability.

More information

Item ID: 16361
DC Identifier: http://oa.upm.es/16361/
OAI Identifier: oai:oa.upm.es:16361
DOI: 10.9781/ijimai.2012.162
Official URL: http://www.ijimai.org/journal/node/273
Deposited by: Memoria Investigacion
Deposited on: 19 Jan 2014 08:41
Last Modified: 21 Apr 2016 16:40
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