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 ...
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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.
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Add this copy of Advances in Neural Information Processing Systems 9 to cart. $6.16, good condition, Sold by spellbound rated 5.0 out of 5 stars, ships from McKeesport, PA, UNITED STATES, published 1997 by A Bradford Book.
Add this copy of Advances in Neural Information Processing Systems 9 to cart. $51.66, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1997 by Bradford Books.
Add this copy of Advances in Neural Information Processing Systems 9: to cart. $122.00, good condition, Sold by Expatriate Bookshop rated 1.0 out of 5 stars, ships from Svendborg, DENMARK, published 1997 by MIT Press.
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Seller's Description:
Minor rubbing. Small light stain to front flyleaf. VG. 26x18cm, xviii, 1098 pp. Contains 155 papers concerning Cognitive Science; Neuroscience; Theory; Algorithms & Architecture; Implementation; Speech, Handwriting, & Signal Processing; Visual Processing; Applications; Control, Navigation & Planning. Includes: Temporal Low-Order Statistics of Natural Sounds; A Hierarchical Model of Visual Rivalry; The Learning Dynamics of a Universal Approximator; Microscopic Equations in Rough Energy; Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo; Probabilistic Interpretation of Population Codes; Visual Cortex Circuitry & Orientation Training; etc.
