書誌事項

Advances in neural information processing systems : proceedings of the ... conference

edited by David S. Touretzky

M. Kaufmann Publishers, c1989-

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タイトル別名

Advances in neural information processing systems

... annual conference on neural information processinh systems ...

大学図書館所蔵 件 / 164

この図書・雑誌をさがす

注記

Subtitle changed slightly

Editors: v. 3 / edited by Richard P. Lippmann, John E. Moody, David S. Touretzky; v. 4 / edited by John E. Moody, Steve J. Hanson, Richard P. Lippmann; v. 5 / edited by Stephen José Hanson, Jack D. Cowan, C. Lee Giles; v. 6 / edited by Jack D. Cowan, Gerald Tesauro, Joshua Alspector; v. 7 / edited by Gerald Tesauro, David Touretzky, Todd Leen; v. 8 / edited by David S. Touretzky, Michael C. Mozer and Michael E. Hasselmo; v. 9 / edited by Michael C. Mozer, Michael I. Jordan and Thomas Petsche; v. 10 / edited by Michael I. Jordan, Michael J. Kearns and Sara A. Solla; v. 11/ edited by Michael S. Kearns, Sara A. Solla and David A. Cohn; v. 12 / edited by Sara A. Solla, Todd K. Leen and Klaus-Robert Müller; v. 13 / edited by Todd K. Leen, Thomas G. Dietterich and Volker Tresp

Editors: v. 14 / edited by Thomas G. Dietterich, Suzanna Becker and Zoubin Ghahramani; v. 15 / edited by Suzanna Becker, Sebastian Thrun and Klaus Obermayer; v. 16 / edited by Sebastian Thrun, Lawrence K. Saul, and Bernhard Schölkopf; v. 17 / edited by Lawrence K. Saul, Yair Weiss and Léon Bottou; v. 18 / Yair Weiss, Bernard Schölkopf, and John C. Platt; v. 19 / edited by Bernhard Schölkopf, John C. Platt, and Thomas Hofmann; 20 / edited by John C. Platt ... [et al.]; 21 / edited by Daphne Koller ... [et al.]; 22 / edited by Yoshua Bengio ... [et al.]

23 / edited by John Lafferty ... [et al.]; 24 / edited by John Shawe-Taylor ... [et al.]; 26 / edited by Chris Burges ... [et al.]; 27 / edited by Max Welling ... [et al.]; 28 / editors, Corinna Cortes ... [et al.]; 29 / editors, Daniel D. Lee ... [et al.]; 30 / editors, Ulrike von Luxburg ... [et al.]; 31 / editors, Samy Bengio ... [et al.]

Publisher varies: v. 7-: Cambridge, Mass. : MIT Press; 20-:La Jolla, Calif. : Neural Information Processing Systems

Vol. 8, 16-19: "A Bradford book"

Vol. 8: the 1995 Conference, v. 9: the 1996 Conference, v. 10: the 1997 Conference, v. 11: the 1998 Conference, v. 12: the 1999 Conference, v. 13: the 2000 Conference, v. 14: the 2002 Conference, v. 31: 32nd Conference on Neural Information Processing Systems (NeurlPS 2018), Montreal, Canada, 3-8 December 2018, v. 32: 32nd Conference on Neural Information Processing Systems (NeurlPS 2019), Vancouver, Canada, 8-14 December 2019

Title of Vol. 1-7: Advances in neural information processing systems

Includes bibliographical references and indexes

内容説明・目次

巻冊次

15 ISBN 9780262025508

内容説明

Proceedings of the 2002 Neural Information Processing Systems Conference. The annual Neural Information Processing (NIPS) meeting is the flagship conference on neural computation. The conference draws a diverse group of attendees-physicists, neuroscientists, mathematicians, statisticians, and computer scientists-and the presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and applications. Only about 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 2002 conference.
巻冊次

14 : set ISBN 9780262042086

内容説明

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.
巻冊次

9 ISBN 9780262100656

内容説明

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.
巻冊次

10 ISBN 9780262100762

内容説明

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.

目次

  • Part 1 Cognitive science: synchronized auditory and cognitive 40 Hz attentional streams and the impact of rhythmic expectations on auditory scene analysis, Bill Baird
  • on parallel versus serial processing - a computational study of visual search, Eyal Cohen, Eytan Ruppin
  • task and spatial frequency effects on face specialization, Matthew N. Dailey, Garrison W. Cottrell
  • Neural basis of object-centred representations, Sophie Debeve, Alexandre Pouget
  • a neural network model of naive preference and filial imprinting in the domestic chick, Lucy E. Hadden
  • adaptation in speech motor control, John F. Houde, Michael I. Jordan
  • learning human-like knowledge by singular value decomposition - a progress report, Thomas K. Landauer et al
  • multi-modular associative memory, Nir Levy et al
  • serial order in reading aloud - connectionist models and neighbourhood structure, Jeanne C. Milostan, Garrison W. Cottrell
  • a superadditive-impairment theory of optic aphasia, Michael C. Mozer et al
  • a hippocampal model of recognition memory, Randall C. O'Reilly et al
  • correlates of attention in a model of dynamic visual recognition, Rajesh P.N. Rao
  • recurrent neural networks can learn to implement symbol-sensitive counting, Paul Rodriguez, Janet Wiles
  • comparison of human and machine word recognition, Markus Schenkel et al. Part 2 Neuroscience: coding of naturalistic stimuli by auditory midbrain neurons, Hagai Atias, Christoph E. Schreiner
  • refractoriness and neural precision, Michael J. Berry II, Markus Meister
  • statistical models of conditioning, Peter Dayan, Theresa Long
  • characterizing neurons in the primary auditory cortex of the awake primate using reverse correlation, R. Christopher de Charms, Michael M. Merzenich
  • using Helmholtz machines to analyze multi-channel neuronal recordings, Virginia R. de Sa et al
  • instabilities in eye movement control - a model of periodic alternating nystagmus, Ernst R. Dow, Thomas J. Anastasio
  • hippocampal model of rat spatial abilities using temporal difference learning, David J. Foster et al
  • gradients for retinotectal mapping, Geoffrey J. Goodhill
  • a mathematical model of axon guidance by diffusible factors, Geoffrey J. Goodhill
  • computing with action potentials (invited talk), John J. Hopfield et al
  • a model of early visual processing, Laurent Itti et al
  • perturbative M-sequences for auditory systems identification, Mark Kvale, Christoph E. Schreiner
  • effects of spike timing underlying binocular integration and rivalry in a neural model of early visual cortex, Erik D. Lumer. (Part contents).
巻冊次

11 ISBN 9780262112451

内容説明

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.
巻冊次

13 ISBN 9780262122412

内容説明

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.
巻冊次

12 ISBN 9780262194501

内容説明

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.
巻冊次

17 ISBN 9780262195348

内容説明

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.
巻冊次

19 ISBN 9780262195683

内容説明

Papers from the 2006 flagship meeting on neural computation, with contributions from physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists -- interested in theoretical and applied aspects of modeling, simulating, and building neural-like or intelligent systems. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning, 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 2006 meeting, held in Vancouver.
巻冊次

7 ISBN 9780262201049

内容説明

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.
巻冊次

8 ISBN 9780262201070

内容説明

The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book

目次

Part 1 Cognitive science. Part 2 Neuroscience. Part 3 Theory. Part 4 Algorithms and architectures. Part 5 Implementations. Part 6 Speech and signal processing. Part 7 Vision. Part 8 Applications. Part 9 Control.
巻冊次

16 ISBN 9780262201520

内容説明

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.
巻冊次

18 ISBN 9780262232531

内容説明

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 2005 meeting, held in Vancouver.
巻冊次

1 ISBN 9781558600157

内容説明

Contains the collected papers of the 1988 IEEE Conference on [title] held in Denver, CO. Major research topics are covered and application to areas such signal processing, vision, speech, and motor control, simulation of neural networks, and advances in hardware technology. Annotation copyright Boo
巻冊次

2 ISBN 9781558601000

内容説明

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.
巻冊次

5 ISBN 9781558602748

内容説明

Proceedings of the annual Conferences on Advances in Neural Information Processing Systems. Volumes 7 and later are available from The MIT Press.
巻冊次

6 ISBN 9781558603226

内容説明

Proceedings of the annual Conferences on Advances in Neural Information Processing Systems. Volumes 7 and later are available from The MIT Press.

「Nielsen BookData」 より

詳細情報

  • NII書誌ID(NCID)
    BA06791660
  • ISBN
    • 1558600159
    • 1558601007
    • 1558601848
    • 1558602224
    • 1558602747
    • 1558603220
    • 0262201046
    • 0262201070
    • 0262100657
    • 0262100762
    • 0262112450
    • 0262194503
    • 0262122413
    • 0262042088
    • 0262042061
    • 026204207X
    • 0262025507
    • 0262201526
    • 0262195348
    • 0262232537
    • 0262195682
    • 9781510884472
    • 9781713807933
  • LCCN
    89001844
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    San Mateo, Calif.
  • ページ数/冊数
    v.
  • 大きさ
    24-28 cm
  • 分類
  • 件名
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