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BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
Effects of dependence in high-dimensional multiple testing problems
Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Kyung In Kim, Mark A. van de Wiel
JAR
2006
95views more  JAR 2006»
13 years 8 months ago
Mechanizing and Improving Dependency Pairs
The dependency pair technique [1, 11, 12] is a powerful method for automated termination and innermost termination proofs of term rewrite systems (TRSs). For any TRS, it generates ...
Jürgen Giesl, René Thiemann, Peter Sch...
TIT
2008
119views more  TIT 2008»
13 years 8 months ago
Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...
Jean-Marc Bardet, Imen Kammoun
JSA
2002
125views more  JSA 2002»
13 years 8 months ago
Building a dependable system from a legacy application with CORBA
This paper presents a dependability oriented, fault tolerance based system design, development, and deployment approach. The approach relies on an architectural framework, which a...
Domenico Cotroneo, Nicola Mazzocca, Luigi Romano, ...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
13 years 8 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles