贝叶斯

Methods for feature space discretization based cluster algorithm and class conditional probability distribution estimation are proposed.

首先针对应用贝叶斯决策理论时难以估计类条件概率密度函数的问题，提出了特征空间离散化及相应的类条件概率分布的估计方法。

In this paper we propose an approach to augment the algorithm described before to improve their performance by defining the conditional probability distribution of different composition of continuous and discrete attributes, and implement these new modified algorithms in Weka. To reduce the storage complexity of the AODE algorithm, we used the selective ensemble method to modify it.

在本文中我们提出了通过有效地定义条件概率分布来改善基于朴素贝叶斯分类器的改进算法的性能的方法，并在Weka的框架下实现了我们提出的改进算法，同时考虑到AODE算法较高的空间复杂度，我们利用选择性集成的思想对AODE算法进行了改进，以降低其存储空间复杂度。

The second step is to evaluate for BN, decide prior probability and conditional probability.

再为贝叶斯网络赋值，确定先验概率和条件概率。

In the basis of Bayes principle, the linearized Zoeppritz equation and convolution model are applied to obtain the posterior probability density of the lithology model.

在贝叶斯原理的基础上，通过Zoeppritz方程简化公式及褶积模型建立反演参数的后验概率模型。

Special versions of Bayesian networks, as it turned out, can manage causal and counterfactual relationships as well.

结果，特殊的贝叶斯网络还可以处理因果关系和反事实关系。

It also introduces a new algorithm to remove the circle of the DAG of network.

这两种方法较好地解决了在教育领域运用贝叶斯推理所碰到的难题。

For the feature that Bayesian network is required to be a DAG, this algorithm can also be used in network structure learning.

此外针对贝叶斯网为有向无环图这一特点，此算法还可以应用于网络结构学习的过程中。

For example, this algorithm can be used to check the DAG in Genetic Algorithm when the mutation happened.

例如在利用遗传算法学习贝叶斯网结构的过程中，变异后的网络结构可使用增量式拓扑排序进行环路检测。

In this paper, a new method of learning Bayesian network structure with missing data is presented.

针对这些问题，建立了一种新的具有丢失数据的贝叶斯网络结构学习方法。

Bayesian decision theory is a basic method of Statistical Pattern Recognition.

贝叶斯决策理论是统计模式识别中的一个基本方法。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。