Mathematical Perspectives on Neural Networks

By Michael C. Mozer; David E. Rumelhart et al. | Go to book overview

concern, since the chapters are not intended as presentations of current research projects but rather as tutorials on fundamental material which will long retain its value.

We also wish to thank the students in two seminars at the University of Colorado who were not merely enthusiastic guinea pigs but also co-workers in conceptually putting it all together: Brian Bonnlander, Franco Callari, Sreerupa Das, Robert Dodier, Newell Falkinburg, Ramon Krosley, Kevin Markey, Don Mathis, Tom McCabe, Deb Miller, Francis Ngai, Dave Nix, Tony Sileo, Gerry Stahl, Bruce Tesar, Ted Weverka, Erik Wiener, and Don Wolfe. For extraordinary production support, we thank Eleanor Umali of TechBooks.

For comments on his summary chapters, Smolensky thanks Robert Dodier, Andreas Weigend, and most of the contributing authors; special thanks go to Michael Mozer and Kevin Markey and for their extensive and thoughtful comments on manuscripts. Smolensky gratefully acknowledges the support of NSF grant IRI-9213894, the Center for Language and Speech Processing at Johns Hopkins, and especially the Hopkins Department of Cognitive Science for teaching leave without which this project would simply never have terminated. But Smolensky owes his greatest thanks to Géraldine Legendre and Joshua Legendre Smolensky, for this book is no exception to the general rule: it is the writer's family that pays the biggest price in order that a book may finally see the light of day.

The Editors

-xvi-

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