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15 ISBN 9780262025508
Description
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.
- Volume
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14 : set ISBN 9780262042086
Description
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.
- Volume
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9 ISBN 9780262100656
Description
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.
- Volume
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10 ISBN 9780262100762
Description
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.
Table of Contents
- 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).
- Volume
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11 ISBN 9780262112451
Description
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.
- Volume
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13 ISBN 9780262122412
Description
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.
- Volume
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12 ISBN 9780262194501
Description
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.
- Volume
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17 ISBN 9780262195348
Description
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.
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19 ISBN 9780262195683
Description
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.
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7 ISBN 9780262201049
Description
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.
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8 ISBN 9780262201070
Description
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
Table of Contents
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.
- Volume
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16 ISBN 9780262201520
Description
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.
- Volume
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18 ISBN 9780262232531
Description
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.
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1 ISBN 9781558600157
Description
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
- Volume
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2 ISBN 9781558601000
Description
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.
- Volume
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5 ISBN 9781558602748
Description
Proceedings of the annual Conferences on Advances in Neural Information Processing Systems. Volumes 7 and later are available from The MIT Press.
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6 ISBN 9781558603226
Description
Proceedings of the annual Conferences on Advances in Neural Information Processing Systems. Volumes 7 and later are available from The MIT Press.
by "Nielsen BookData"