NECO
2011
13 years 7 months ago
2011
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
ICDE
2009
IEEE
13 years 10 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
PDPTA
2010
13 years 10 months ago
2010
- Complex business service systems, such as SOA system, are prone to suffer from reliability problem. Various legend applications compatible in SOA system make things worse. Softwa...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
In this paper we report on a study on feature selection within the minimum
PE
2010
Springer
13 years 11 months ago
2010
Springer
Correlations in traffic patterns are an important facet of the workloads faced by real systems, and one that has far-reaching consequences on the performance and optimization of t...
PE
2010
Springer
13 years 11 months ago
2010
Springer
We present the KPC-Toolbox, a library of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way based on the recently proposed Kro...
PVLDB
2008
13 years 12 months ago
2008
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
PVLDB
2008
13 years 12 months ago
2008
Many approaches have been proposed to find correlations in binary data. Usually, these methods focus on pair-wise correlations. In biology applications, it is important to find co...
JCNS
2002
14 years 3 days ago
2002
Multielectrode arrays allow recording of the activity of many single neurons, from which correlations can be calculated. The functional roles of correlations can be revealed by mea...
CORR
2002
Springer
14 years 6 days ago
2002
Springer
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...