By Grigori Sidorov, Sabino Miranda-Jiménez, Francisco Viveros-Jiménez, Alexander Gelbukh (auth.), Ildar Batyrshin, Miguel González Mendoza (eds.)

ISBN-10: 3642378064

ISBN-13: 9783642378065

ISBN-10: 3642378072

ISBN-13: 9783642378072

The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed complaints of the eleventh Mexican foreign convention on synthetic Intelligence, MICAI 2012, held in San Luis Potosí, Mexico, in October/November 2012. The eighty revised papers awarded have been conscientiously reviewed and chosen from 224 submissions. the 1st quantity contains forty papers representing the present major themes of curiosity for the AI neighborhood and their purposes. The papers are prepared within the following topical sections: desktop studying and development attractiveness; laptop imaginative and prescient and snapshot processing; robotics; wisdom illustration, reasoning, and scheduling; clinical functions of man-made intelligence.

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Extra resources for Advances in Artificial Intelligence: 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosí, Mexico, October 27 – November 4, 2012. Revised Selected Papers, Part I

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It obtains high data reduction, maintaining the original classifier error. The organization of the contribution is as follows: the next section covers some general concepts about extended Rough Set Theory and structuralizations of the Logical Combinatorial Approach to Pattern Recognition. Section 3 explains the proposed approach to feature and instance selection, and Section 4 contains several numerical experiments to determine the performance of the proposal with respect to other feature and object selection methods.

W. Div. W. 81 22 R. Cordeiro de Amorim In this initial set of experiments, we were surprised by the good performance of the divisive ward algorithm in regard to the number of iterations. This kept the number of K-Means iterations from two to three and was outperformed only once by iK-Means, by a single iteration in the wine dataset(possibly the most well-separated of them). The agglomerative ward algorithm also presented a good average outcome, always providing a lower number of iterations than those obtained by random initialization.

20 (2006) 6. : Opinion Finder: a system for subjectivity analysis. In: Proceedings of HLT/EMNLP on Interactive Demonstrations, Vancouver, British Columbia, Canada, pp. 34–35 (2005) 7. : Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford University, Stanford, CA (2009) 8. : Técnicas de Clasificación de Opiniones Aplicadas a un Corpus en Español. Procesamiento del Lenguaje Natural, Revista 47, 163–170 (2011) 9. : Opinion Identification in Spanish Texts. In: Proceedings of the NAACL HLT (2010) 10.

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Advances in Artificial Intelligence: 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosí, Mexico, October 27 – November 4, 2012. Revised Selected Papers, Part I by Grigori Sidorov, Sabino Miranda-Jiménez, Francisco Viveros-Jiménez, Alexander Gelbukh (auth.), Ildar Batyrshin, Miguel González Mendoza (eds.)


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