Intelligent searching algorithm for the weighted context modeling

Min Chen, X. Cui, X. Jia
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Abstract

In this paper, the design objective of the proposed weighted context modeling algorithm aims to minimize the adaptive code length of the context model weighted. The relation between the weights and the model adaptive code length is discussed firstly. In order to search the optimal result, the intelligent searching algorithm is suggested to obtain the weights for the context modeling. Experiment results indicate the proposed algorithm could perform better results than the results by other predecessors.
加权上下文建模的智能搜索算法
本文提出的加权上下文建模算法的设计目标是使加权上下文模型的自适应代码长度最小。首先讨论了权重与模型自适应码长之间的关系。为了搜索出最优结果,提出了智能搜索算法来获取上下文建模的权重。实验结果表明,该算法比前人的算法具有更好的效果。
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