N. Baba and M. Kozaki. An intelligent forecasting system of stock price using neural networks. In Proceedings IJCNN, Baltimore, Maryland, pages 652--657, Los Alamitos, 1992. IEEE Press. Home/Search Document Not in Database Summary Related Articles Check |
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A Fourier Spectrum-based Approach to Represent Decision Trees .. - Kargupta, Park (Correct)
....and produces an overall output by taking their weighted average. Averaging the outputs of the individual models with uniform weight is probably the simplest possibility. This technique [32, 27] is called the Basic Ensemble Method (BEM) or naive Bagging. Breiman proposed an Arcing method Arc fx [4, 5] for creating ensembles. It is fundamentally based on the idea of Arcing adaptive re sampling by giving higher weights to those instances that are usually mis classified. We consider both of these ensemble learning techniques to create an ensemble of decision trees from the data stream. These ....
N. Baba and M. Kozaki. An intelligent forecasting system of stock price using neural networks. In Proceedings IJCNN, Baltimore, Maryland, pages 652-657, Los Alamitos, 1992.
A Random Matrix-Based Approach for Dependency Detection .. - Kargupta, Sivakumar.. (2002) (Correct)
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N. Baba and M. Kozaki. An intelligent forecasting system of stock price using neural networks. In Proceedings IJCNN, Baltimore, Maryland, pages 652--657, Los Alamitos, 1992. IEEE Press.
MobiMine: Monitoring the Stock Market from a PDA - Kargupta, Park, Pittie, Liu, .. (2001) (5 citations) (Correct)
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N. Baba and M. Kozaki. An intelligent forecasting system of stock price using neural networks. In Proceedings of IJCNN, Baltimore, Maryland, pages 652-657, Los Alamitos, 1992. IEEE Press.
Dependency Detection in MobiMine and Random Matrices - Kargupta, Sivakumar, Ghosh (2002) (Correct)
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N. Baba and M. Kozaki. An intelligent forecasting system of stock price using neural networks. In Proceedings IJCNN, Baltimore, Maryland, pages 652--657, Los Alamitos, 1992. IEEE Press.
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