The Dynamic Distribution Smoothing Technique Based on Time Series Analysis

Haiyan Wang · Dianzi xuebao · 2008

This thesis analyzes the changes of the word occurrence frequency in models with time,uses the prediction technique in the time series model analysis to obtain the next data and thus estimate the model parameter,and get a new smoothing method,which increases the probability if the word's frequency is increasing,reduces the probability if the word's occurrence frequency is decreasing on temporal dimension.The experimental data show that this new smoothing method is superior to the others.

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