2018
DOI: 10.1007/978-3-030-04780-1_7
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Homogenous Ensemble of Time-Series Models for Indian Stock Market

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Cited by 12 publications
(1 citation statement)
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“…Their results show that the proposed AdaBoost-LSTM ensemble outperformed some other single forecasting models. A homogenous ensemble of time-series models including SVM, logistic regression, Lasso regression, polynomial regression, Naive forecast and more was proposed in [40] for predicting stock price movement. Likewise, Yang et al [41] ensembled SVM, RF and AdaBoost using voting techniques to predict a buy or sell of stocks for intraday, weekly and monthly.…”
Section: Related Work Evaluationmentioning
confidence: 99%
“…Their results show that the proposed AdaBoost-LSTM ensemble outperformed some other single forecasting models. A homogenous ensemble of time-series models including SVM, logistic regression, Lasso regression, polynomial regression, Naive forecast and more was proposed in [40] for predicting stock price movement. Likewise, Yang et al [41] ensembled SVM, RF and AdaBoost using voting techniques to predict a buy or sell of stocks for intraday, weekly and monthly.…”
Section: Related Work Evaluationmentioning
confidence: 99%