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Hyperparameter optimization for recommender systems through Bayesian optimization

Galuzzi, B. G.; Giordani, I.; Candelieri, Antonio; … - In: Computational management science 17 (2020) 4, pp. 495-515

Persistent link: https://www.econbiz.de/10012486977

A heuristic method for parameter selection in LS-SVM: Application to time series prediction

Rubio, Ginés; Pomares, Héctor; Rojas, Ignacio; … - In: International Journal of Forecasting 27 (2011) 3, pp. 725-739

Least Squares Support Vector Machines (LS-SVM) are the state of the art in kernel methods for regression. These models have been successfully applied for time series modelling and prediction. A critical issue for the performance of these models is the choice of the kernel parameters and the...

Persistent link: https://www.econbiz.de/10011051478