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 ...
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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 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.
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Add this copy of Advances in Neural Information Processing Systems 12 to cart. $65.00, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2000 by Bradford Books.
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Add this copy of Advances in Neural Information Processing Systems 12: to cart. $65.00, like new condition, Sold by Sutton Books rated 4.0 out of 5 stars, ships from Norwich, VT, UNITED STATES, published 2000 by The MIT Press.
Add this copy of Advances in Neural Information Processing Systems 12 to cart. $66.31, good condition, Sold by Midtown Scholar Bookstore rated 5.0 out of 5 stars, ships from Harrisburg, PA, UNITED STATES, published 2000 by The MIT Press.
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Good-Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name-GOOD Oversized.