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This paper raised a new method about noise-reduction for 1D economic time series data based on ICA, making use of high rank statistical peculiarity of ICA, because of a large number of noises contained in economic series data. We expand 1D signal to many dims, drawing into invented noise components, and separate blind source. Compared to adapt-self filter, this method is excel enter. Authentic proof...
This study investigates the domain adaptation problem for nature language processing tasks in the distributional view. A novel method is proposed for domain adaptation based on the hybrid model which combines the discriminative model with the generative model. The advantage of the discriminative model is to have lower asymptotic error, while the advantage of the generative model can easily incorporate...
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