Wisdom of the crowd? Building better forecasts from suboptimal predictors
(PHYSorg.com Mathematics)

Researchers at the University of Tokyo and Kozo Keikaku Engineering Inc. have introduced a method for enhancing the power of existing algorithms to forecast the future of unknown time series. By combining the predictions of many suboptimal forecasts, they were able to construct a consensus prediction that tended to outperform existing methods. This research may help provide early warnings for floods, economic shocks, or changes in the weather.