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Nature-Inspired Computation and Machine Learning

13th Mexican International Conference on Artificial Intelligence, MICAI2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part II

  • Conference proceedings
  • © 2014

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8857)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MICAI 2014.

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Table of contents (44 papers)

  1. Genetic and Evolutionary Algorithms

  2. Neural Networks

    1. Best Paper Award, First Place

    2. Best Paper Award, Second Place

  3. Machine Learning

Other volumes

  1. Human-Inspired Computing and Its Applications

  2. Nature-Inspired Computation and Machine Learning

Keywords

About this book

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.

Editors and Affiliations

  • Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

  • Universidad Autónoma del Estado de Hidalgo, Área Académica de Computación y Electrónica, Carretera Pachuca-Tulancingo, Hidalgo, Mexico

    Félix Castro Espinoza

  • Facultad de ciencias, Universidad Autónoma Nacional de México, México DF, Mexico

    Sofía N. Galicia-Haro

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