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TELETRAFFIC
2007
Springer
16 years 18 days ago
Performance Analysis of a Fluid Queue with Random Service Rate in Discrete Time
We consider a fluid queue in discrete time with random service rate. Such a queue has been used in several recent studies on wireless networks where the packets can be arbitrarily...
Onno J. Boxma, Vinod Sharma, D. K. Prasad
IJCNN
2000
IEEE
15 years 11 months ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski
ESANN
2000
15 years 7 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
ISMB
1994
15 years 7 months ago
Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
John M. Heumann, Alan S. Lapedes, Gary D. Stormo
ICASSP
2010
IEEE
15 years 6 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer