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Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they… Expand This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an… Expand We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in… Expand Software radios are emerging as platforms for multiband multimode personal communications systems. Radio etiquette is the set of… Expand Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… Expand From the Publisher:
The indispensable guide to wireless communicationsnow fully revised and updated!
Wireless Communications… Expand From the Publisher:
Probabilistic Reasoning in Intelligent Systems is a complete andaccessible account of the theoretical… Expand This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations… Expand We describe a new learning procedure, back-propagation, for networks of neurone-like units. The procedure repeatedly adjusts the… Expand From the Publisher:
IEEE Press is pleased to bring back into print this definitive text and reference covering all aspects of… Expand