Artificial Intelligence Perspectives in Intelligent Systems: by Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, PDF

By Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova

ISBN-10: 3319336231

ISBN-13: 9783319336237

ISBN-10: 3319336258

ISBN-13: 9783319336251

This quantity relies at the study papers offered within the 5th desktop technological know-how online Conference.

The quantity synthetic Intelligence views in clever structures provides glossy traits and strategies to real-world difficulties, and specifically, exploratory examine that describes novel ways within the box of synthetic intelligence. New algorithms in quite a few fields also are presented.

The laptop technological know-how online convention (CSOC 2016) is meant to supply a world discussion board for discussions at the most up-to-date learn leads to all parts relating to machine Science.

The addressed themes are the theoretical elements and purposes of machine technology, man made Intelligences, Cybernetics, Automation keep an eye on concept and software program Engineering.

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Extra resources for Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1

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The Stanford Encyclopedia of Philosophy, Winter edn. (2014). edu/archives/win2014/entries/ diagrams/ 2. , Barwise, J. ): Logical Reasoning with Diagrams. Oxford University Press, New York (1996) 3. : The graphic linguistic distinction. Artif. Intell. Rev. 13, 313–335 (2001) 4. : Distinctions with differences: comparing criteria for distinguishing diagrammatic from sentential systems. In: Diagrams 2000, M. Anderson, P. Cheng, and V. Haarslev, Eds. LNCS (LNAI), vol. 1889, pp. 132–148, 2000 5. : Theories of diagrammatic reasoning: distinguishing component problems.

From image annotation to image description. S. ) Neural Information Processing, pp. 196–204. Springer, Berlin (2012) 11. : Image Engineering. Tsinghua University Press, Beijing (2013) 12. : Image Retrieval Principles and Practice. Communication University of China Press (2014) 13. : Automatic discovery approach of digital image topic. Appl. Mech. Mater. 598, 382–386 (2014) 14. : Ancient Chinese Knowledge Course. Peking University Press (2002) 15. : Statistical Natural Language Processing. Tsinghua University Press (2008) 16.

In practical applications, detection of berries in vineyard photos is expected. Since only a small portion of the photos is covered by the grape berries, the behavior of the detectors on test sets of environment type should be primarily considered. From this perspective, the simplified versions S2 seem to be less suitable for practical applications. Thus, the suitability of S2 for practical applications should be assessed with greater complexity. Our next research will focused on this topic. Acknowledgments The work has been supported by the Funds of University of Pardubice, Czech Republic.

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Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1 by Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova

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