Grigori Sidorov - Advances In Computational Intelligence: 15th Mexican International Conference On Artificial Intelligence, Micai 2016, Cancún, Mexico, October 23–28, ... Part I

Grigori Sidorov - Advances In Computational Intelligence: 15th Mexican International Conference On Artificial Intelligence, Micai 2016, Cancún, Mexico, October 23–28, ... Part I

Advances In Computational Intelligence: 15th Mexican International Conference On Artificial Intelligence, Micai 2016, Cancún, Mexico, October 23–28, ... Part I está disponible para descargar en formato PDF y EPUB. Aquí puedes acceder a millones de ebooks. Todos los ebooks disponibles para leer en línea y descargar sin necesidad de pagar más.



Título Del Ebooks: Advances In Computational Intelligence: 15th Mexican International Conference On Artificial Intelligence, Micai 2016, Cancún, Mexico, October 23–28, ... Part I

Autor: Grigori Sidorov

Editor: Springer

Fecha de lanzamiento: 11.06.2019

Género: Libros universitarios y de estudios superiores

ISBN: 9783319624334

El Tamaño De Archivo: 3.90MB

Hoja de: 580

Idioma: Español

Formato : PDF, EPUB

Grigori Sidorov con Libros Advances In Computational Intelligence: 15th Mexican International Conference On Artificial Intelligence, Micai 2016, Cancún, Mexico, October 23–28, ... Part I Gratis

The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016.  The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:  Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics. Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.

18.07.2019

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