| B. Wuthrich, V. Cho, and J. Zhang. Text processing for classification. Journal of Computational Intelligence in Finance, 7(2):6--22, 1999. 17 |
....matrix with 3x3=9 elements is estimated very roughly because the training set with 100 tuples is not sufficiently large enough for the estimation. However, there is experimental evidence, as indicated in Chapter 6 that for stock prediction around 100 training days is an optimal period [27]. Hence conditional probability selection seems not to be an appropriate method for the consensus decision making in forecasting a stock index. 164 The probabilistic rule method also performs well with an accuracy of 44.3 . It lags behind the accuracy selection method as it has a higher ....
Cho V., Wthrich B. and Zhang J., "Text Processing for Classification", Journal of Computational Intelligence in Finance, special issue on Financial News Analysis using Distributed Data Mining, pp.26, accepted Dec. 1998.
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B. Wuthrich, V. Cho, and J. Zhang. Text processing for classification. Journal of Computational Intelligence in Finance, 7(2):6--22, 1999. 17
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B. Wuthrich, V. Cho, and J. Zhang. Text processing for classification. Journal of Computational Intelligence in Finance, 7(2):6--22, 1999. 17
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B. Wuthrich V. Cho and J. Zhang. Text processing for classification. Journal of Computational Intelligence in Finance, 7(2):6--22, 1999.
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