Regularised gradient boosting for financial time-series modelling
Year of publication: |
July 2017
|
---|---|
Authors: | Agapitos, Alexandros ; Brabazon, Anthony ; O'Neill, Michael |
Published in: |
Computational Management Science : CMS. - Berlin : Springer, ISSN 1619-697X, ZDB-ID 2136735-8. - Vol. 14.2017, 3, p. 367-391
|
Subject: | Boosting algorithms | Gradient boosting | Stagewise additive modelling | Regularisation | Financial time-series modelling | Financial forecasting | Feedforward neural networks | Noisy data | Ensemble learning | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Theorie | Theory | Algorithmus | Algorithm |
-
Nayak, Sarat Chandra, (2024)
-
Reservoir computing vs. neural networks in financial forecasting
Georgopoulos, Spyros P., (2023)
-
Neural, novel & hybrid algorithms for time series prediction
Masters, Timothy, (1995)
- More ...
-
Tackling overfitting in evolutionary-driven financial model induction
Tuite, Clíodhna, (2011)
-
Evolving dynamic trade execution strategies using grammatical evolution
Cui, Wei, (2010)
-
Evolving efficient limit order strategy using grammatical evolution
Cui, Wei, (2010)
- More ...