TWO-STEP META-LEARNING FOR TIME-SERIES FORECASTING ENSEMBLE

Two-Step Meta-Learning for Time-Series Forecasting Ensemble

Amounts of historical data collected increase and business intelligence applicability with automatic forecasting of time series are in high demand.While no single time series modeling method is universal to all types of dynamics, forecasting using an ensemble of several methods is often seen as a compromise.Instead of fixing ensemble diversity and

read more


Signal Parameter Estimation and Classification Using Mixed Supervised and Unsupervised Machine Learning Approaches

The increasing use of modern power electronics raises the issue of harmonics in power systems which ultimately deteriorate MEDI C PLUS W/MG its optimal performance in terms of: increased power loss, breaker failure and mal-operation of equipment.It has been found that the most severe harmonics in the system are odd ones due to their unsymmetrical n

read more