Bibliographic Details

Advances in soft computing : 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings. Part II / Obdulia Pichardo-Lagunas, Sabino Miranda-Jiménez (eds.).

Meeting name Mexican International Conference on Artificial Intelligence (15th : 2016 : Cancún, Mexico)
Imprint Cham : Springer, 2017.
Description 1 online resource (xxvii, 552 pages) : illustrations.
Language English
Series Lecture notes in artificial intelligence, 0302-9743 ; 10062
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 10062.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Soft computing -- Congresses.
Artificial intelligence -- Congresses.
Artificial intelligence.
Soft computing.
Electronic books.
Conference papers and proceedings.
Format E-Resource, Book
URL for this record http://pi.lib.uchicago.edu/1001/cat/bib/11349900
Varying Form of Title MICAI 2016
Other authors / contributors Pichardo Lagunas, Obdulia, editor.
Miranda-Jiménez, Sabino, editor.
ISBN 9783319624280
3319624288
9783319624273
Digital file characteristics text file PDF
Notes International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed August 10, 2017).
Summary 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. .
Other form Printed edition: 9783319624273
Standard no. 10.1007/978-3-319-62428-0