319 search results - page 24 / 64 » Learning Nonlinear Manifolds from Time Series |
81
Voted
SSDBM
2006
IEEE
15 years 3 months ago
2006
IEEE
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
IJON
2007
14 years 9 months ago
2007
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
71
Voted
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
156
Voted
SIGMOD
2006
ACM
15 years 9 months ago
2006
ACM
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
118
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ESANN
2006
14 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...