Advances in Neural Information Processing Systems

Advances in Neural Information Processing Systems

Hardcover

$42.16 $51.95 Save 19% Current price is $42.16, Original price is $51.95. You Save 19%.
View All Available Formats & Editions

Temporarily Out of Stock Online

Eligible for FREE SHIPPING

Overview

Advances in Neural Information Processing Systems by David S. Touretzky

November 28-December 1, 1994, Denver, Colorado


NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications.

Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.


Product Details

ISBN-13: 9781558601000
Publisher: Elsevier Science & Technology Books
Publication date: 12/28/1990
Pages: 853
Product dimensions: 7.31(w) x 9.29(h) x 1.74(d)

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews