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Improving web learning through model optimization using bootstrap for a tour-guide robot
Citation
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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
