Advances in Neural Information Processing Systems 19

Proceedings of the 2006 Conference

MIT Press

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.

Autoren/Hrsg.

Schölkopf, Bernhard

Platt, John

Hofmann, Thomas

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft

Über Autor(innen)

Platt, John
John Platt is the Manager of the Knowledge Tools group at Microsoft Research, and
Program Chair of the 2006 NIPS conference.

Schölkopf, Bernhard
Bernhard Schölkopf is Professor and Director at the Max Planck Institute for
Biological Cybernetics in Tübingen, Germany. He is coauthor of Learning
with Kernels (2002) and is a coeditor of Advances in Kernel
Methods: Support Vector Learning (1998), Advances in Large-Margin
Classifiers (2000), and Kernel Methods in Computational
Biology (2004), all published by the MIT Press.

Hofmann, Thomas
Thomas Hofmann is a Director of Engineering at Google's Engineering Center in
Zurich and Adjunct Associate Professor of Computer Science at Brown
University.