A score function for optimization based on maximum mutual information entropy with odditional restriction is proposed.
提出了基于最大互信息熵且具有奇数约束的优化得分函数。
2
There are surprising applications of these concepts in the maximumentropy distribution, which tells us how to build "least clustered" networks according to the Boltzmann distribution.
在最大熵分布中有这些概念的一些应用，这告诉我们如何根据Boltzmann分布构建“最小聚集”网络。
3
Continuous attributes are discretized through maximumentropy method.