搜索资源列表
Bayesian_Wavelet_Network
- 基于贝叶斯网络的小波阈值的图像的降噪，希望能对你们有一定的用处。-Bayesian network based on wavelet threshold image de-noising, hope to have some helpful to you
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
BN_creat
- 本程序是贝叶斯网络应用到神经影像数据的程序，将脑区的平均体素值作为节点，构件贝叶斯网络-This procedure is applied to the Bayesian network neuroimaging data program, will mean voxel value of brain regions as nodes, member Bayesian network
bys
- 案例运用贝叶斯网络模型模拟翻车事故的发生概率，案例给出了输入输出文件案例以及示例程序。-Case using Bayesian network model to simulate the probability of occurrence of a rollover accident, the case shows the input and output file case sample program.
smoke
- 贝叶斯网络吸烟肺癌的经典案例，输入条件概率表计算边缘概率等-Bayesian Network smoking lung classic case, enter the conditional probability table edge probability calculation
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
learn_params1
- 贝叶斯网络参数过程中最大似然估计的详细过程-Bayesian network parameters maximum likelihood estimation process detailed process
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network
概率神经网络pnn
- 概率神经网络在RBF网络的基础上，融合了密度函数估计和贝叶斯理论。本文件包含三个PNN文件。
dynamic-path-planning
- (不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN
xm_LeakMax_MainProg
- 多态系统的贝叶斯网络模型的参数学习算法，基于Noisy-Max模型-Parameters Learning of Bayesian Networks for Multistate System，based Noisy-MAX model
Bayes
- 利用贝叶斯网络对IRIS数据（鸢尾花）进行分类，含原始数据-Bayesian network IRIS data (iris) are classified, including raw data
FullFlexBayesNets
- 动态贝叶斯网络算法的计算和改进，包含测试例子-The improvement of full flex Bayesian Network
NN-model
- 该程序是用R语言实现贝叶斯网络和神经网络的结合进行预测的模型-The program model is R language network and the combination of Bayesian neural network to predict
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
PNL_Release_1_0.ZIP
- PNL(probabilistic network library) Intel公司的开源贝叶斯网络开发库-PNL(probabilistic network library
bayesian_network5
- 贝叶斯网络的实现，主要是训练过程，实现了k2算法-Bias network implementation, mainly the training process, the realization of the K2 algorithm
em
- EM算法实现贝叶斯网络缺失样本下的估计的算法-Bayesian estimation algorithm EM algorithm network missing samples under
libdbn
- 基于马尔可夫毯的贝叶斯网络的结构学习算法-Based on Structure Learning Algorithm Markov Blanket Bayesian Networks