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...
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...
"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...
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...
: 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...