32 search results - page 6 / 7 » On the Stationarity of Multivariate Time Series for Correlat... |
JMS
2010
13 years 3 months ago
2010
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
IDA
2002
Springer
13 years 5 months ago
2002
Springer
Short, high-dimensional, Multivariate Time Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would b...
RECOMB
2003
Springer
14 years 5 months ago
2003
Springer
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
GIS
2003
ACM
14 years 6 months ago
2003
ACM
This paper introduces an approach for closer integration of selforganizing maps into the visualization of spatio-temporal phenomena in GIS. It is proposed to provide a more explic...
MICCAI
2009
Springer
14 years 5 months ago
2009
Springer
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...