Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes
Forecasting of stock returns by using manifold wavelet support vector machine
β Scribed by Ling-bing Tang; Huan-ye Sheng; Ling-xiao Tang
- Book ID
- 107623863
- Publisher
- Chinese Electronic Periodical Services
- Year
- 2010
- Tongue
- English
- Weight
- 427 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1007-1172
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