Advances In Neural Computation Machine Learning And Cognitive Research Ii

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Advances in Neural Computation, Machine Learning, and Cognitive Research

Author : Boris Kryzhanovsky
Publisher : Springer
ISBN 13 : 3319666045
Total Pages : 199 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research written by Boris Kryzhanovsky and published by Springer. This book was released on 2017-08-28 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.

Advances in Neural Computation, Machine Learning, and Cognitive Research II

Author : Boris Kryzhanovsky
Publisher : Springer
ISBN 13 : 3030013286
Total Pages : 344 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research II by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research II written by Boris Kryzhanovsky and published by Springer. This book was released on 2018-10-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Author : Boris Kryzhanovsky
Publisher :
ISBN 13 : 9783030605780
Total Pages : 0 pages
Book Rating : 4.6/5 (57 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research IV written by Boris Kryzhanovsky and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia. .

Advances in Neural Computation, Machine Learning, and Cognitive Research V

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3030915816
Total Pages : 365 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research V by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research V written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2021-11-22 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.

Advances in Neural Computation, Machine Learning, and Cognitive Research VII

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3031448650
Total Pages : 505 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research VII by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research VII written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2023-11-12 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.

Advances in Neural Computation, Machine Learning, and Cognitive Research VI

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3031190327
Total Pages : 585 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research VI by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research VI written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2022-10-18 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.

Advances in Neural Computation, Machine Learning, and Cognitive Research III

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3030304256
Total Pages : 428 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research III by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research III written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2019-09-03 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3030605779
Total Pages : 441 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research IV written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2020-10-01 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.

Advances in Neural Information Processing Systems 7

Author : Gerald Tesauro
Publisher : MIT Press
ISBN 13 : 9780262201049
Total Pages : 1180 pages
Book Rating : 4.2/5 (1 download)

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Book Synopsis Advances in Neural Information Processing Systems 7 by : Gerald Tesauro

Download or read book Advances in Neural Information Processing Systems 7 written by Gerald Tesauro and published by MIT Press. This book was released on 1995 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications. Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Author : Boris Kryzhanovsky
Publisher : Springer
ISBN 13 : 9783030605797
Total Pages : 441 pages
Book Rating : 4.6/5 (57 download)

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Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research IV written by Boris Kryzhanovsky and published by Springer. This book was released on 2021-10-03 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.

Advances in Neural Information Processing Systems 17

Author : Lawrence K. Saul
Publisher : MIT Press
ISBN 13 : 9780262195348
Total Pages : 1710 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Advances in Neural Information Processing Systems 17 by : Lawrence K. Saul

Download or read book Advances in Neural Information Processing Systems 17 written by Lawrence K. Saul and published by MIT Press. This book was released on 2005 with total page 1710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.

Advances in Neural Information Processing Systems 13

Author : Todd K. Leen
Publisher : MIT Press
ISBN 13 : 9780262122412
Total Pages : 1136 pages
Book Rating : 4.1/5 (224 download)

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Book Synopsis Advances in Neural Information Processing Systems 13 by : Todd K. Leen

Download or read book Advances in Neural Information Processing Systems 13 written by Todd K. Leen and published by MIT Press. This book was released on 2001 with total page 1136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference.The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2000 conference.

Trends in Neural Computation

Author : Ke Chen
Publisher : Springer
ISBN 13 : 3540361227
Total Pages : 510 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Trends in Neural Computation by : Ke Chen

Download or read book Trends in Neural Computation written by Ke Chen and published by Springer. This book was released on 2006-11-15 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by extending well-selected papers presented in the 2005 International Conference on Natural Computation. The book reviews the latest progress in a range of different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems.

Unsupervised Learning

Author : Geoffrey Hinton
Publisher : MIT Press
ISBN 13 : 9780262581684
Total Pages : 420 pages
Book Rating : 4.5/5 (816 download)

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Book Synopsis Unsupervised Learning by : Geoffrey Hinton

Download or read book Unsupervised Learning written by Geoffrey Hinton and published by MIT Press. This book was released on 1999-05-24 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Advances in Neural Networks: Computational and Theoretical Issues

Author : Simone Bassis
Publisher : Springer
ISBN 13 : 3319181645
Total Pages : 392 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Neural Networks: Computational and Theoretical Issues by : Simone Bassis

Download or read book Advances in Neural Networks: Computational and Theoretical Issues written by Simone Bassis and published by Springer. This book was released on 2015-06-05 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

Advances in Neural Information Processing Systems

Author : Thomas G. Dietterich
Publisher : MIT Press
ISBN 13 : 9780262042086
Total Pages : 856 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Advances in Neural Information Processing Systems by : Thomas G. Dietterich

Download or read book Advances in Neural Information Processing Systems written by Thomas G. Dietterich and published by MIT Press. This book was released on 2002-09 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2001 conference.

Advances in Artificial Intelligence and Applied Cognitive Computing

Author : Hamid R. Arabnia
Publisher : Springer Nature
ISBN 13 : 3030702960
Total Pages : 1152 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Artificial Intelligence and Applied Cognitive Computing by : Hamid R. Arabnia

Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).