Advances In Neural Information Processing Systems

Author : Michael S. Kearns,Sara A. Solla,David A. Cohn
Publisher : MIT Press
Page : 1122 pages
File Size : 52,8 Mb
Release : 1999
Category : Computers
ISBN : 0262112450

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Advances in Neural Information Processing Systems 11 by Michael S. Kearns,Sara A. Solla,David A. Cohn Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. 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.

Author : Sara A. Solla,Klaus-Robert Müller,Todd K. Leen
Publisher : MIT Press
Page : 1124 pages
File Size : 41,6 Mb
Release : 2000
Category : Computers
ISBN : 0262194503

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Advances in Neural Information Processing Systems 12 by Sara A. Solla,Klaus-Robert Müller,Todd K. Leen Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. 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.

Author : Michael I. Jordan,Michael J. Kearns,Sara A. Solla
Publisher : MIT Press
Page : 1114 pages
File Size : 53,9 Mb
Release : 1998
Category : Computers
ISBN : 0262100762

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Advances in Neural Information Processing Systems 10 by Michael I. Jordan,Michael J. Kearns,Sara A. Solla Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.

Author : Lawrence K. Saul,Yair Weiss,Léon Bottou
Publisher : MIT Press
Page : 1710 pages
File Size : 49,5 Mb
Release : 2005
Category : Computational intelligence
ISBN : 0262195348

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Advances in Neural Information Processing Systems 17 by Lawrence K. Saul,Yair Weiss,Léon Bottou Pdf

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.

Author : Suzanna Becker,Sebastian Thrun,Klaus Obermayer
Publisher : MIT Press
Page : 1738 pages
File Size : 44,5 Mb
Release : 2003
Category : Neural circuitry
ISBN : 0262025507

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Advances in Neural Information Processing Systems 15 by Suzanna Becker,Sebastian Thrun,Klaus Obermayer Pdf

Proceedings of the 2002 Neural Information Processing Systems Conference.

Author : Gerald Tesauro,David S. Touretzky,Todd Leen
Publisher : MIT Press
Page : 1180 pages
File Size : 50,5 Mb
Release : 1995
Category : Computers
ISBN : 0262201046

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Advances in Neural Information Processing Systems 7 by Gerald Tesauro,David S. Touretzky,Todd Leen Pdf

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.

Author : Thomas G. Dietterich,Suzanna Becker,Professor of Information Engineering Zoubin Ghahramani,Zoubin Ghahramani
Publisher : MIT Press
Page : 856 pages
File Size : 46,8 Mb
Release : 2002-09
Category : Computers
ISBN : 0262042088

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Advances in Neural Information Processing Systems by Thomas G. Dietterich,Suzanna Becker,Professor of Information Engineering Zoubin Ghahramani,Zoubin Ghahramani Pdf

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.

Author : A.C.C. Coolen,R. Kuehn,P. Sollich
Publisher : OUP Oxford
Page : 596 pages
File Size : 51,5 Mb
Release : 2005-07-21
Category : Neural networks (Computer science)
ISBN : 0191583006

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Theory of Neural Information Processing Systems by A.C.C. Coolen,R. Kuehn,P. Sollich Pdf

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience.

Author : Neural Information Processing Systems Foundation
Publisher : MIT Press
Page : 361 pages
File Size : 55,8 Mb
Release : 2007
Category : Algorithms
ISBN : 9780262026178

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Predicting Structured Data by Neural Information Processing Systems Foundation Pdf

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Author : Todd K. Leen,Thomas G. Dietterich,Volker Tresp
Publisher : MIT Press
Page : 1136 pages
File Size : 46,6 Mb
Release : 2001
Category : Artificial intelligence
ISBN : 0262122413

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Advances in Neural Information Processing Systems 13 by Todd K. Leen,Thomas G. Dietterich,Volker Tresp Pdf

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.

Author : Qiang Qiang Yang,Yang Yang Liu,Yong Yong Cheng,Yan Yan Kang,Tianjian Tianjian Chen,Han Han Yu
Publisher : Springer Nature
Page : 189 pages
File Size : 46,7 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031015854

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Federated Learning by Qiang Qiang Yang,Yang Yang Liu,Yong Yong Cheng,Yan Yan Kang,Tianjian Tianjian Chen,Han Han Yu Pdf

How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.

Author : Bing J. Sheu,Joongho Choi
Publisher : Springer Science & Business Media
Page : 569 pages
File Size : 41,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461522478

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Neural Information Processing and VLSI by Bing J. Sheu,Joongho Choi Pdf

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.

Author : Michael C. Mozer,Michael I. Jordan,Thomas Petsche
Publisher : MIT Press
Page : 1128 pages
File Size : 44,5 Mb
Release : 1997
Category : Artificial intelligence
ISBN : 0262100657

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Advances in Neural Information Processing Systems 9 by Michael C. Mozer,Michael I. Jordan,Thomas Petsche Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes neural networks and genetic algorithms, cognitive science, neuroscience and biology, computer science, AI, applied mathematics, physics, and many branches of engineering. Only about 30% of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. All of the papers presented appear in these proceedings.

Author : Bernhard Schölkopf,John Platt,Thomas Hofmann
Publisher : MIT Press
Page : 1668 pages
File Size : 51,5 Mb
Release : 2007
Category : Artificial intelligence
ISBN : 9780262195683

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Advances in Neural Information Processing Systems 19 by Bernhard Schölkopf,John Platt,Thomas Hofmann Pdf

The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.

Author : P Bartlett,F. C.N Pereira,C. J. C. Burges,L Bottou,K. Q Weinberger
Publisher : Unknown
Page : 3328 pages
File Size : 40,9 Mb
Release : 2013
Category : Neural computers
ISBN : 162748003X

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Advances in Neural Information Processing Systems 25 by P Bartlett,F. C.N Pereira,C. J. C. Burges,L Bottou,K. Q Weinberger Pdf