АЛГОРИТМЫ РАСПОЗНАВАНИЯ И КЛАССИФИКАЦИИ ОСНОВАННЫЕ НА ВЫЧИСЛЕНИИ ОЦЕНОК.
Keywords:
Keywords: pattern recognition, estimation calculations, proximity function, support set;Abstract
Abstract: To “invent” new methods for solving artificial intelligence problems,
the article proposes a method based on an algorithm for calculating estimates. Since
among the methods under consideration, the potential of algorithms for calculating
estimates is enormous, since it contains the theoretical foundations for reducing the
complexity of data processing on large datasets.
References
Литература:
1. Matej Moravck, Martin Schmid, Neil Burch, Viliam Lisy, Dustin Morrill, Nolan
Bard, Trevor Davis, Kevin Waugh, Michael Johanson, and Michael Bowling.
Deepstack: Expert-level artificial intelligence in heads-up no-limit poker. Science,
2017.
2. Yaniv Taigman, Ming Yang, Marc' Aurelio Ranzato, and Lior Wolf. Deepface:
Closing the gap to human-level performance in face verification. pages 1701{1708,
2014.
3. Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness,
Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg
Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen
King, Dharshan Kumaran, Daan Wierstra, Shane Legg, and Demis Hassabis.
Human-level control through deep reinforcement learning. Nature,
518(7540):529{533, 2015.
4. Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen
M. Blau, and Sebastian Thrun. Dermatologist-level classification of skin cancer
with deep neural networks. Nature, 542(7639):115{118, 2017.
5. Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crisan,
Camelia-M. Pintea, and Vasile Palade. Towards interactive machine learning (iml):
Applying ant colony algorithms to solve the traveling salesman problem with the
human-in-the-loop approach. In Springer Lecture Notes in Computer Science
LNCS 9817, pages 81{95. Springer, Heidelberg, Berlin, New York, 2016.
6. Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Mller,
Robert Reihs, and Kurt Zatloukal. Towards the augmented pathologist: Challenges
of explainable-ai in digital pathology. arXiv:1712.06657, 2017.
7. Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crisan,
Camelia-M. Pintea, and Vasile Palade. A glass-box interactive machine learning
approach for solving np-hard problems with the human-in-the-loop.
arXiv:1708.01104, 2017.
8. 17. Andreas Holzinger, Chris Biemann, Constantinos S. Pattichis, and Douglas B.
Kell. What do we need to build explainable ai systems for the medical domain?
arXiv:1712.09923, 2017
9. Juravlev Y.I. , Kamilov М.М., Тulaganov Sh. E. IMAGE RECOGNITION AND
CLASSIFICATION ALGORITHMS . Таshkent,1974.
10. Абдукаримов А. Алгоритм построения решающего правила с малым числом
опорных подмножеств.- Известия АН УзССР, №2, 1989, с. 16-19
