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BC
2002
193views more  BC 2002»
15 years 16 days ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
91
Voted
TMC
2010
112views more  TMC 2010»
14 years 11 months ago
Comparison of Data-Driven Link Estimation Methods in Low-Power Wireless Networks
Abstract—Link estimation is a basic element of routing in lowpower wireless networks, and data-driven link estimation using unicast MAC feedback has been shown to outperform broa...
Hongwei Zhang, Lifeng Sang, Anish Arora
INFOCOM
2011
IEEE
14 years 4 months ago
Timely data delivery in a realistic bus network
Abstract—WiFi-enabled buses and stops may form the backbone of a metropolitan delay tolerant network, that exploits nearby communications, temporary storage at stops, and predict...
Utku Acer, Paolo Giaccone, David Hay, Giovanni Neg...
157
Voted
CAL
2008
15 years 23 days ago
BENoC: A Bus-Enhanced Network on-Chip for a Power Efficient CMP
Network-on-Chips (NoCs) outperform buses in terms of scalability, parallelism and system modularity and therefore are considered as the main interconnect infrastructure in future c...
I. Walter, Israel Cidon, Avinoam Kolodny
BMCBI
2004
205views more  BMCBI 2004»
15 years 16 days ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma