Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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im Januar 2014 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у 2014

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Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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Forecasting Dry Bulk Freight Index with Improved SVM

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P1476

Forecasting Dry Bulk Freight Index with Improved SVM

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P2093

B. Yu

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Bo Yan

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Guobao Ning

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Qianqian Han

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P2860

Support vector machine with adaptive parameters in financial time series forecasting.

Practical selection of SVM parameters and noise estimation for SVM regression.

Financial time series prediction using least squares support vector machines within the evidence framework.

Some international evidence regarding the stochastic memory of stock returns

Evolutionary tuning of SVM parameter values in multiclass problems

A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case

A fuzzy integrated logical forecasting model for dry bulk shipping index forecasting: An improved fuzzy time series approach

P304

1-12

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P31

scholarly article

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10.1155/2014/460684

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P478

2014

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P577

2014-01-01T00:00:00Z

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