The ubiquity of chance discovery can be seen in many areas of application, fundamentally when there are events that are difficult to find or predict. In this paper, we present our...
As prices of basic enabling equipment like smart cell phones, hand holds, wireless modems, and GPS devices continue to drop rapidly, International Data Corp (IDC) predicts that the...
Ouri Wolfson, Sam Chamberlain, Konstantinos Kalpak...
We propose a multivariate methodology based on Functional Gradient Descent to estimate and forecast time-varying expected bond returns. Backtesting our procedure on US monthly dat...
: We propose a wavelet multiscale decomposition based autoregressive approach for the prediction of one-hour ahead ahead load based on historical electricity load data. This approa...
D. Benaouda, Fionn Murtagh, Jean-Luc Starck, O. Re...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...