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JMLR
2010
151views more  JMLR 2010»
15 years 2 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 11 months ago
Downlink SDMA with Limited Feedback in Interference-Limited Wireless Networks
The tremendous capacity gains promised by space division multiple access (SDMA) depend critically on the accuracy of the transmit channel state information. In the broadcast chann...
Marios Kountouris, Jeffrey G. Andrews
IJAHUC
2011
143views more  IJAHUC 2011»
14 years 11 months ago
A mobility framework to improve heterogeneous wireless network services
: We propose and investigate the Internet Protocol version 6 (IPv6) enabled mobility framework to improve the user mobility experience in heterogenous wireless networks. The framew...
Chong Shen, Wencai Du, Robert Atkinson, James Irvi...
SENSYS
2004
ACM
16 years 1 months ago
An analysis of a large scale habitat monitoring application
Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during...
Robert Szewczyk, Alan M. Mainwaring, Joseph Polast...
GLOBECOM
2009
IEEE
16 years 2 months ago
Impact of Information on Network Performance - An Information-Theoretic Perspective
Abstract—Available network information is an important factor in determining network performance. In this paper, we study the basic limits on the amount of network information th...
Jun Hong, Victor O. K. Li