The annual Neural Information Processing Systems (NIPS) conference is the flagshipmeeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, andapplications. Only twenty-five percent of the papers submitted are accepted for presentation atNIPS, so the quality is exceptionally high. This volume contains the papers presented at theDecember, 2004 conference, held in Vancouver.Proceedings of the 2004 Conference Lawrence K. Saul, Yair Weiss, LAcon Bottou. Similarity and discrimination in classical conditioning: A latent variable account Aaron C. Courvillea, Nathaniel D. Dawaquot; and David S. Touretzkya aquot;Robotics Institute, ... of work probing how animals learn and predict given compounds of stimuli.
|Title||:||Advances in Neural Information Processing Systems 17|
|Author||:||Lawrence K. Saul, Yair Weiss, Léon Bottou|
|Publisher||:||MIT Press - 2005|