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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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ICDE
1999
IEEE
148views Database» more  ICDE 1999»
14 years 8 months ago
Efficient Mining of Partial Periodic Patterns in Time Series Database
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
Jiawei Han, Guozhu Dong, Yiwen Yin
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 5 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
NIPS
2004
13 years 8 months ago
Implicit Wiener Series for Higher-Order Image Analysis
The computation of classical higher-order statistics such as higher-order moments or spectra is difficult for images due to the huge number of terms to be estimated and interprete...
Matthias O. Franz, Bernhard Schölkopf
ACTA
2006
70views more  ACTA 2006»
13 years 7 months ago
Throughput analysis in wireless networks with multiple users and multiple channels
Abstract We consider the problem of maximizing throughput in a multi-carrier wireless network that employs predictive link adaptation. We explicitly consider the time-penalty incur...
Amrinder Arora, Fanchun Jin, Gokhan Sahin, Hosam M...
BMCBI
2011
13 years 2 months ago
A Platform for Processing Expression of Short Time Series (PESTS)
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...
Anshu Sinha, Marianthi Markatou