Buscar
Mostrando ítems 1-10 de 747
Measuring time series predictability using support vector regression
(TAYLOR & FRANCIS INC, 2008)
Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive ...
Un algoritmo para el entrenamiento de máquinas de vector soporte para regresiónUn algoritmo para el entrenamiento de máquinas de vector soporte para regresión
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2000)
Nonstationary regression with support vector machines
(Springer, 2014-10-07)
In this work, we introduce a method for data analysis in nonstationary environments: time-adaptive support vector regression (TA-SVR). The proposed approach extends a previous development that was limited to classification ...
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
(Elsevier, 2020)
n this paper, we propose a novel support vector regression (SVR) approach for time series analysis. An efficient forward feature selection strategy has been designed for dealing with high-frequency time series with multiple ...