14 search results - page 3 / 3 » Gaussian Processes for time-marked time-series data |
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 ...
TELSYS
2010
13 years 3 months ago
2010
A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be chara...
AMC
2008
13 years 5 months ago
2008
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
MIR
2005
ACM
13 years 10 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...