A new conditional entropy and knowledge reduction algorithms are proposed.
提出新的条件信息熵及其高效知识约简算法。
The conditional entropy of decision table will not change in the reduction process.
知识约简后决策表的条件熵等于初始决策表的条件熵。
The attribute weight and weighted support of default regular are defined by using the conditional entropy and a mining algorithm of default regulars are given for inconsistent database.
针对不一致数据库，定义属性权重及缺省规则加权支持度概念，在此基础上给出一种缺省规则挖掘算法。
Lossless compression bounds of images naturally acquired by various imaging sensors are estimated using a practical method based on multi scale conditional entropy and memory measurement.
为估计利用各类成像传感器自然获取图像的无损压缩极限，提出一个利用多尺度条件熵和记忆性度量的实用方法。
A heuristic algorithm based on conditional information entropy for knowledge reduction is proposed, and the complexity of this algorithm is analyzed.
提出了一种基于条件信息熵的知识约简启发式算法，并指出该算法的时间复杂度是多项式的。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
A new QBC method is presented by combining vote entropy and class conditional posterior maximum entropy for learning TAN classifier.
同时提出了基于投票熵与类条件后验最大熵相结合的QBC算法。
A new QBC method is presented by combining vote entropy and class conditional posterior maximum entropy for learning TAN classifier.
同时提出了基于投票熵与类条件后验最大熵相结合的QBC算法。
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