1 research outputs found
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
This report first provides a brief overview of a number of supervised
learning algorithms for regression tasks. Among those are neural networks,
regression trees, and the recently introduced Nexting. Nexting has been
presented in the context of reinforcement learning where it was used to predict
a large number of signals at different timescales. In the second half of this
report, we apply the algorithms to historical weather data in order to evaluate
their suitability to forecast a local weather trend. Our experiments did not
identify one clearly preferable method, but rather show that choosing an
appropriate algorithm depends on the available side information. For slowly
varying signals and a proficient number of training samples, Nexting achieved
good results in the studied cases.Comment: 9 pages, 8 Figures, 2 Table