135 search results - page 6 / 27 » Improving Multi-Step Prediction of Learned Time Series Model... |
CCGRID
2007
IEEE
14 years 1 months ago
2007
IEEE
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
IJON
2002
13 years 7 months ago
2002
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
ICMI
2010
Springer
13 years 5 months ago
2010
Springer
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...