Advances In Neuro Information Processing

Author : Todd K. Leen,Thomas G. Dietterich,Volker Tresp
Publisher : MIT Press
Page : 1136 pages
File Size : 42,7 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 : Lawrence K. Saul,Yair Weiss,Léon Bottou
Publisher : MIT Press
Page : 1710 pages
File Size : 41,8 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 : Michael C. Mozer,Michael I. Jordan,Thomas Petsche
Publisher : MIT Press
Page : 1128 pages
File Size : 46,9 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 : Suzanna Becker,Sebastian Thrun,Klaus Obermayer
Publisher : MIT Press
Page : 1738 pages
File Size : 46,7 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 : Michael I. Jordan,Michael J. Kearns,Sara A. Solla
Publisher : MIT Press
Page : 1114 pages
File Size : 43,6 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 : P Bartlett,F. C.N Pereira,C. J. C. Burges,L Bottou,K. Q Weinberger
Publisher : Unknown
Page : 3328 pages
File Size : 49,6 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

Author : Sebastian Thrun,Lawrence K. Saul,Bernhard Schölkopf
Publisher : MIT Press
Page : 1694 pages
File Size : 50,7 Mb
Release : 2004
Category : Models, Neurological
ISBN : 0262201526

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Advances in Neural Information Processing Systems 16 by Sebastian Thrun,Lawrence K. Saul,Bernhard Schölkopf Pdf

Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (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 thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.

Author : Michael S. Kearns,Sara A. Solla,David A. Cohn
Publisher : MIT Press
Page : 1122 pages
File Size : 44,9 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 : Isabelle Guyon
Publisher : Unknown
Page : 128 pages
File Size : 55,6 Mb
Release : 2017
Category : Electronic
ISBN : OCLC:1267909376

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Advances in Neural Information Processing Systems 30 Pre-proceedings (NeurIPS 2017) by Isabelle Guyon Pdf

Author : Thomas G. Dietterich,Suzanna Becker,Professor of Information Engineering Zoubin Ghahramani,Zoubin Ghahramani
Publisher : MIT Press
Page : 832 pages
File Size : 51,8 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 : Sara A. Solla,Klaus-Robert Müller,Todd K. Leen
Publisher : MIT Press
Page : 1124 pages
File Size : 52,9 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 : Gerald Tesauro,David S. Touretzky,Todd Leen
Publisher : MIT Press
Page : 1180 pages
File Size : 50,9 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 : A.C.C. Coolen,R. Kuehn,P. Sollich
Publisher : OUP Oxford
Page : 596 pages
File Size : 49,8 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 : Thomas G. Dietterich,Suzanna Becker,Professor of Information Engineering Zoubin Ghahramani,Zoubin Ghahramani
Publisher : MIT Press
Page : 856 pages
File Size : 55,9 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 : Christof Koch
Publisher : Oxford University Press
Page : 587 pages
File Size : 45,8 Mb
Release : 2004-10-28
Category : Medical
ISBN : 9780195181999

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Biophysics of Computation by Christof Koch Pdf

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes.Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation.Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.