Showing 20 of 2,239 academic articles
Robert E. Uhrig • Annual Conference of the IEEE Industrial Electronics Society (IECON)
(2002)
A neural network is a data processing system consisting of a large number of simple, highly interconnected processing elements in an architecture inspired by the structure of the cerebral cortex portion of the brain. Hence, neural networks ...
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DOI: https://doi.org/10.1109/iecon.1995.483329
Muhammet Ünal, Ayca Gokhan Ak, Vedat Topuz, Hasan Erdal • Studies in computational intelligence
(2012)
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Open Access
DOI: https://doi.org/10.1007/978-3-642-32900-5_2
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna et al. • arXiv (Cornell University)
(2013)
Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the reason they succeed, it also causes them to learn uninterpr...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1312.6199
• Bloomsbury Publishing Plc eBooks
(2000)
Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior...
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DOI: https://doi.org/10.5040/9781350392434
Dimitris C. Dracopoulos • Perspectives in neural computing
(1997)
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DOI: https://doi.org/10.1007/978-1-4471-0903-7_4
David E. Rumelhart, Bernard Carlos Widrow, Michael A. Lehr • Communications of the ACM
(1994)
article Free AccessThe basic ideas in neural networks Authors: David E. Rumelhart Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile , Bernard Widrow Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile ,...
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Open Access
DOI: https://doi.org/10.1145/175247.175256
Eric R. Ziegel • Technometrics
(1995)
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DOI: https://doi.org/10.1080/00401706.1995.10484402
KEVIN N. GURNEY • Taylor & Francis eBooks
(1997)
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DOI: https://doi.org/10.4324/9780203451519
Xiang-Sun Zhang • Nonconvex optimization and its applications
(2000)
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DOI: https://doi.org/10.1007/978-1-4757-3167-5_5
Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences
(2021)
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...
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Open Access
DOI: https://doi.org/10.1109/trpms.2021.3066428
PMC: 9105427
Julien Cornebise, Cardoso, Jaime S, Lu, Zhi, Marco Loog et al. • Lecture notes in computer science
(2016)
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Open Access
DOI: https://doi.org/10.1007/978-3-319-46976-8
Santanu Pattanayak • Apress eBooks
(2017)
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with T...
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DOI: https://doi.org/10.1007/978-1-4842-3096-1
Pratik Gajane, Pechenizkiy, Mykola • arXiv (Cornell University)
(2017)
Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are employed to prevent such algorithms from systematically dis...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1710.03184
Deniz Susar, Vincenzo Aquaro • International Conference on Theory and Practice of Electronic Governance
(2019)
Artificial Intelligence (AI) refers to a set of technologies through which "intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that enable them to perform tasks previously thought to rely so...
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DOI: https://doi.org/10.1145/3326365.3326420
Yinying Wang • Journal of Educational Administration
(2021)
Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...
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DOI: https://doi.org/10.1108/jea-10-2020-0216
Hamid R. Tizhoosh, Liron Pantanowitz • Journal of Pathology Informatics
(2018)
In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manif...
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cc-by-nc-sa
DOI: https://doi.org/10.4103/jpi.jpi_53_18
PMC: 6289004
Masoud Yazdani • Chapman & Hall eBooks
(1986)
Part 1. Principles of artificial intelligence, John Campbell. Part 2 Tools and techniques: artificial intelligence programming environments and the POPLOG system, John Gibson LISP, lists and pattern-matching, Tony Hasemer. Part 3 Applicatio...
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Karen I. Stocks, Sam Schramski, Arika Virapongse, Lisa Kempler • Data Science Journal
(2019)
Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In th...
DOAJ
Open Access (DOAJ)
DOI: 10.5334/dsj-2019-021
Zeng Yun, Wu Wenxiu, Yu Dankui • Shiyou jixie
(2018)
Under the rapid development of the world’s powder technology, powder materials are used in a wide range of fields such as metallurgy, chemical industry and petroleum. Turbo air classifier is one of the most important mechanical equipment in...
DOAJ
Open Access (DOAJ)