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EACL
2006
ACL Anthology
15 years 8 months ago
Bayesian Network, a Model for NLP?
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
Davy Weissenbacher
TSD
2010
Springer
15 years 4 months ago
Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform
In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental r...
Jan Trmal, Jan Zelinka, Ludek Müller
ICASSP
2011
IEEE
14 years 10 months ago
Analyzing the performance of error-prone relay networks
In this paper, we provide a semi-analytical method for predicting the upper and lower bound of the end-to-end mutual information for a relay network with practical codes and diffe...
Sebastian Vorköper, Volker Kühn
LCN
2008
IEEE
16 years 1 months ago
What's new? Message reduction in sensor networks using events
—Observing the environment is the raison d’ ˆetre of sensor networks, but the precise reconstruction of the measured process requires too many messages for a low power sensor ...
Andreas Köpke, Adam Wolisz
COMSWARE
2007
IEEE
16 years 29 days ago
Analysis of Dynamic Sensor Networks: Power Law Then What?
— Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these...
Eric Fleury, Jean-Loup Guillaume, Céline Ro...