32 search results - page 1 / 7 » Soft-computing techniques for time series forecasting |
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
ESANN
2008
13 years 6 months ago
2008
This study examines a selection of off-the-shelf forecasting and forecast combination algorithms with a focus on assessing their practical relevance by drawing conclusions for non-...
ESANN
2004
13 years 6 months ago
2004
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....