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(Ebook) Human-Inspired Computing and Its Applications: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I by Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro (eds.) ISBN 9783319136462, 9783319136479, 3319136461, 331913647X

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Instant download (eBook) Human-Inspired Computing and Its Applications: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I after payment.
Authors:Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro (eds.)
Pages:508 pages.
Year:2014
Editon:1
Publisher:Springer International Publishing
Language:english
File Size:36.44 MB
Format:pdf
ISBNS:9783319136462, 9783319136479, 3319136461, 331913647X
Categories: Ebooks

Product desciption

(Ebook) Human-Inspired Computing and Its Applications: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I by Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro (eds.) ISBN 9783319136462, 9783319136479, 3319136461, 331913647X

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

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