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Advances in Neural Information Processing Systems 19

·2007·The MIT Press eBooks

Abstract

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. Bradford Books imprint

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Metadata

Venue
The MIT Press eBooks
Published
2025
OpenAlex
W2990138404
Cited by
15,539
References
0
FWCI
58.04
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in Neural Information Processing Systems 19. https://app.cochat.ai/papers/10.52202/085713
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Advances in Neural Information Processing Systems 19. (2007). The MIT Press eBooks. https://doi.org/10.52202/085713

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.