1.
Research and Application of Bayesian Quantum Stochastic Learning Algorithms;
贝叶斯量子随机学习算法及应用研究
2.
Stochastic Sample Based Algorithm for Learning Bayesian Networks
一种基于随机抽样的贝叶斯网络结构学习算法
3.
Algorithm of Bayesian Network Structural Learning Based on Quantum Genetic;
基于量子遗传算法的贝叶斯网络结构学习
4.
The Study of Learning Bayesian Networks with Hidden Variables
具有隐藏变量贝叶斯网学习算法的研究
5.
enumerative Bayesian algorithm of stochastic grammar
随机文法的穷举贝叶斯算法
6.
Uniform Bayesian Network Learning Model and Parameter Learning Algorithms
贝叶斯网学习算法模型及参数学习算法
7.
Efficient Hill-climbing Algorithm for Learning Bayesian Networks
贝叶斯网学习中一种有效的爬山算法
8.
SEM Algorithm with Values Missed in Learning Bayesian Network
数据缺失下学习贝叶斯网的SEM算法
9.
Improvement to a Dependency Analysis Based Bayesian Network Learning Algorithm and Experiments
对一种贝叶斯网络学习算法的改进及试验分析
10.
Research on Structure Learning of Bayesian Classifier Based on Genetic Algorithms;
基于遗传算法的贝叶斯分类器结构学习研究
11.
An Algorithm of Parameter Learning in Bayesian Network from Incomplete Data;
不完整数据的贝叶斯网络参数学习新算法
12.
The Research of Bayesian Network Structure Learning Algorithms Based on K2 Score Metric
基于K2评分的贝叶斯网结构学习算法的研究
13.
Bayesian Framework Based Weighted LS-SVM and Its Learning Algorithm
基于贝叶斯框架的加权LS-SVM及其学习算法
14.
A Discretization Method of Continuous Variable in Bayesian Network Parameter Learning
贝叶斯网参数学习中连续变量离散化方法研究
15.
Improvement of Bayesian Approach to Model Selection for Support Vector Machine Classifiers
基于贝叶斯支持向量机模型选择算法改进
16.
First, we summarize some AMS learning algorithms on Gaussian or finite mixture based on the Bayesian Ying-Yang (BYY) harmony learning principle.
首先，我们综述了基于贝叶斯阴阳机和谐学习原则的自动模型选择学习算法。
17.
Bayesian Estimate of Stochastic Intensity of Mixed Poisson Random Variables
混合泊松随机变量随机强度的贝叶斯估计
18.
Research of Bayesian Networks Parameters Learning Algorithm Based on Confidence Interval and Research of Ensemble Learning;
基于置信区间的贝叶斯网参数学习算法及集成学习研究