Sistemas híbridos neuro-simbólicos: Una revisión
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Asociación Española para la Inteligencia Artificial
2000
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| _version_ | 1866815747846569984 |
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| author | Juan M. Corchado |
| author_facet | Juan M. Corchado |
| contents | Sistemas híbridos neuro-simbólicos: Una revisión Juan M. Corchado Florentino Fdez Riverola Ingeniería boosting machine learning interval based literals time series classication A supervised classi_cation method for temporal series, even multivariate, is presented. It is based on boosting very simple classi_ers: clauses with one literal in the body. The background predicates are based on temporal intervals. Two types of predicates are used: i) relative predicates, such as \increases" and \stays", and ii) region predicates, such as \always" and \sometime", which operate over regions in the dominion of the variable. Experiments on di_erent data sets, several of them obtained from the UCI repositories, show that the proposed method is highly competitive with previous approaches 2000 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92541102 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.11 Vol.4 |
| format | Artículo científico |
| id | redalyc_92541102 |
| language | en |
| publishDate | 2000 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Sistemas híbridos neuro-simbólicos: Una revisión Juan M. Corchado Ingeniería boosting machine learning interval based literals time series classication Sistemas híbridos neuro-simbólicos: Una revisión Juan M. Corchado Florentino Fdez Riverola Ingeniería boosting machine learning interval based literals time series classication A supervised classi_cation method for temporal series, even multivariate, is presented. It is based on boosting very simple classi_ers: clauses with one literal in the body. The background predicates are based on temporal intervals. Two types of predicates are used: i) relative predicates, such as \increases" and \stays", and ii) region predicates, such as \always" and \sometime", which operate over regions in the dominion of the variable. Experiments on di_erent data sets, several of them obtained from the UCI repositories, show that the proposed method is highly competitive with previous approaches 2000 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92541102 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.11 Vol.4 |
| title | Sistemas híbridos neuro-simbólicos: Una revisión |
| topic | Ingeniería boosting machine learning interval based literals time series classication |
| url | https://www.redalyc.org/articulo.oa?id=92541102 |