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125
Voted
TIT
2011
14 years 10 months ago
2011
—“If we know more, we can achieve more.” This adage also applies to networks, where more information about the network state translates into higher sum-rates. In this paper, ...
137
Voted
ESANN
2000
15 years 5 months ago
2000
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
135
Voted
UAI
1997
15 years 5 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
150
Voted
SECURWARE
2008
IEEE
15 years 10 months ago
2008
IEEE
Filtering is a very important issue in next generation networks. These networks consist of a relatively high number of resource constrained devices with very special features, suc...
131
Voted
EWSN
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itse...