Header logo is

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference

2007

Proceedings

ei


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.

Author(s): Schölkopf, B. and Platt, J. and Hofmann, T.
Journal: Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006)
Pages: 1690
Year: 2007
Month: September
Day: 0
Publisher: MIT Press

Department(s): Empirical Inference
Bibtex Type: Proceedings (proceedings)

Address: Cambridge, MA, USA
Digital: 0
Event Name: 20th Annual Conference on Neural Information Processing Systems (NIPS 2006)
Event Place: Vancouver, BC, Canada
ISBN: 0-262-19568-2
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: Web

BibTex

@proceedings{4280,
  title = {Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference},
  author = {Sch{\"o}lkopf, B. and Platt, J. and Hofmann, T.},
  journal = {Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006)},
  pages = {1690},
  publisher = {MIT Press},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Cambridge, MA, USA},
  month = sep,
  year = {2007},
  month_numeric = {9}
}