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The two-volume set LNAI 7094 and 7095 constitutes the refereed
proceedings of the 10th Mexican International Conference on
Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in
November/December 2011. The 96 revised papers presented were
carefully selected from XXX submissions. The second volume contains
46 papers focusing on soft computing. The papers are organized in
the following topical sections: fuzzy logic, uncertainty and
probabilistic reasoning; evolutionary algorithms and other
naturally-inspired algorithms; data mining; neural networks and
hybrid intelligent systems; and computer vision and image
processing.
The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed
proceedings of the 10th Mexican International Conference on
Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in
November/December 2011. The 96 revised papers presented were
carefully reviewed and selected from numerous submissions. The
first volume includes 50 papers representing the current main
topics of interest for the AI community and their applications. The
papers are organized in the following topical sections: automated
reasoning and multi-agent systems; problem solving and machine
learning; natural language processing; robotics, planning and
scheduling; and medical applications of artificial intelligence.
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Advances in Soft Computing - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part II (Paperback, 1st ed. 2021)
Ildar Batyrshin, Alexander Gelbukh, Grigori Sidorov
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R3,241
Discovery Miles 32 410
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Ships in 10 - 15 working days
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The two-volume set LNAI 13067 and 13068 constitutes the proceedings
of the 20th Mexican International Conference on Artificial
Intelligence, MICAI 2021, held in Mexico City, Mexico, in October
2021.The total of 58 papers presented in these two volumes was
carefully reviewed and selected from 129 submissions. The first
volume, Advances in Computational Intelligence, contains 30 papers
structured into three sections: - Machine and Deep Learning - Image
Processing and Pattern Recognition - Evolutionary and Metaheuristic
Algorithms The second volume, Advances in Soft Computing, contains
28 papers structured into two sections: - Natural Language
Processing - Intelligent Applications and Robotics
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Advances in Computational Intelligence - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part I (Paperback, 1st ed. 2021)
Ildar Batyrshin, Alexander Gelbukh, Grigori Sidorov
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R2,495
Discovery Miles 24 950
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Ships in 10 - 15 working days
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The two-volume set LNAI 13067 and 13068 constitutes the proceedings
of the 20th Mexican International Conference on Artificial
Intelligence, MICAI 2021, held in Mexico City, Mexico, in October
2021.The total of 58 papers presented in these two volumes was
carefully reviewed and selected from 129 submissions. The first
volume, Advances in Computational Intelligence, contains 30 papers
structured into three sections: - Machine and Deep Learning - Image
Processing and Pattern Recognition - Evolutionary and Metaheuristic
Algorithms The second volume, Advances in Soft Computing, contains
28 papers structured into two sections: - Natural Language
Processing - Intelligent Applications and Robotics
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Advances in Computational Intelligence - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancun, Mexico, October 23-28, 2016, Proceedings, Part I (Paperback, 1st ed. 2017)
Grigori Sidorov, Oscar Herrera Alcantara
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R3,297
Discovery Miles 32 970
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Ships in 10 - 15 working days
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The two-volume set LNAI 10061 and 10062 constitutes the proceedings
of the 15th Mexican International Conference on Artificial
Intelligence, MICAI 2016, held in Cancun, 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.
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Advances in Artificial Intelligence and Soft Computing - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings, Part I (Paperback, 1st ed. 2015)
Grigori Sidorov, Sofia N Galicia-Haro
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R3,384
Discovery Miles 33 840
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Ships in 10 - 15 working days
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The two volume set LNAI 9413 + LNAI 9414 constitutes the
proceedings of the 14th Mexican International Conference on
Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos,
Mexico, in October 2015. The total of 98 papers presented in these
proceedings was carefully reviewed and selected from 297
submissions. They were organized in topical sections named: natural
language processing; logic and multi-agent systems; bioinspired
algorithms; neural networks; evolutionary algorithms; fuzzy logic;
machine learning and data mining; natural language processing
applications; educational applications; biomedical applications;
image processing and computer vision; search and optimization;
forecasting; and intelligent applications.
This book is about a new approach in the field of computational
linguistics related to the idea of constructing n-grams in
non-linear manner, while the traditional approach consists in using
the data from the surface structure of texts, i.e., the linear
structure.In this book, we propose and systematize the concept of
syntactic n-grams, which allows using syntactic information within
the automatic text processing methods related to classification or
clustering. It is a very interesting example of application of
linguistic information in the automatic (computational) methods.
Roughly speaking, the suggestion is to follow syntactic trees and
construct n-grams based on paths in these trees. There are several
types of non-linear n-grams; future work should determine, which
types of n-grams are more useful in which natural language
processing (NLP) tasks. This book is intended for specialists in
the field of computational linguistics. However, we made an effort
to explain in a clear manner how to use n-grams; we provide a large
number of examples, and therefore we believe that the book is also
useful for graduate students who already have some previous
background in the field.
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