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» A Practical Approach to Network-Based Processing
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TNN
2008
138views more  TNN 2008»
13 years 7 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 7 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz

Book
3743views
15 years 4 months ago
Image processing and data analysis: The multiscale approach
"There is a very large literature on the theoretical underpinnings of the wavelet transform. However, theory must be complemented with a significant amount of practical work...
Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
BMCBI
2002
188views more  BMCBI 2002»
13 years 7 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
SOQUA
2004
13 years 9 months ago
Towards A Practical Approach to Test Aspect-Oriented Software
: Aspect-Oriented Programming (AOP) provides new constructs and tools to handle cross-cutting concerns in programs. Fully realizing the potentials of riented Software Development r...
Yuewei Zhou, Hadar Ziv, Debra J. Richardson