Maximum Entropy Model 最大熵模型
Conditional Maximum Entropy Model 条件最大熵模型
Information Entropy Model 信息熵模型
Max Entropy Model 最大熵模型
ahp entropy model 层次熵模型
AHP-Entropy model 层次熵模型
error entropy model 误差熵模型
In this paper, a method for verb-verb collocation recognition is proposed based on maximum entropy model and voting.
提出一种基于最大熵模型和投票法的汉语动词与动词搭配识别方法。
The results obtained by this method prove the validity of the Entropy Model of Sliding Window (EMSW) in other aspect.
用该模型得出的结果证实了滑动窗口信息熵模型得出的结果的正确性。
The feature functions were reckoned as the most important part of the maximum entropy model which could affact the last result of system.
在最大熵等统计机器学习模型当中，特征函数的选择可以说是对系统整体性能影响最大的部分。
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