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Subject: Artificial intelligence.
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by
Díaz-Cortés, Margarita-Arimatea. author.
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techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant
by
Shen, Jun. author.
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uses linear programming tools to address static output feedback synthesis problems with a focus on
by
Zhang, Xiaolu. author.
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tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy
by
Merdan, Munir. editor.
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applications, the latest tools, systems and components for using robotics. The presented applications cover the
by
Kahraman, Cengiz. editor.
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, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent
by
Zgrzywa, Aleksander. editor.
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-- Tools and Applications -- Natural Language in Information Systems -- Internet and Network Technologies.
by
Wu, Tao, author.
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Markov random walk models are powerful analytical tools for multiple areas in machine learning
by
Palomino, Norma, author.
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Although improvements have been made in the performance of sentiment analysis tools, the automatic
by
Yuan, Yang, author.
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The other direction is "theory to practice", i.e., using theoretical tools to obtain new, better
by
Georgiev, Krassimir. editor.
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computations, engineering, physics, chemistry, medicine, etc. Further, the book presents the tools of
by
Herawan, Tutut. editor.
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analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques
by
Lee, Roger. editor.
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and tools) of computer and information science, and to discuss the practical challenges encountered
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