搜索资源列表
bayes
- 贝叶斯分类器计算的后验概率值,找到最大的后验概率-Bayesian classifier posteriori probability value, find the maximum a posteriori probability
Bayesian-posterior-probability
- 实现贝叶斯概率计算过程。假设进行n次试生产,计算最后得到后验概率,即可信度。样本数据集个数和观测值从文件中读入,计算过程封装为动态链接库,以.dll形式提供, 主程序提供界面输入先验分布值、边缘分布值,显示计算结果。 -Bayesian probability calculation process. Assuming that the n-th trial production, and calculate the final posterior probability that cr
MAP
- 介绍最大后验概率估计的文章,讲解最大后验概率估计MAP的原理-Introduce the maximum a posteriori probability estimates article to explain the maximum a posteriori estimate of MAP principle
873871779gmmMatlab
- 模式识别中,GMM很多地方用来聚类,也有用GMM进行分类,此代码功能为如何计算阈值,得到后验概率,与阈值做比较。。得到分类结构-GMM classification, calculating a threshold value, posterior probability
myBayes
- 贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa
MRF_BENCH
- 实现了C聚类以后的马尔科夫图像分割,对阈值的选取和图像的后验概率计算-C clustering after the Markov segmentation, the posterior probability threshold value is selected and images calculated
bayes(C)
- 贝叶斯融合基本计算方法,解决后验概率的计算问题-Bayes fusion
likehood
- 针对遮挡、光照变化、尺度变化等复杂环境中的视觉跟踪问题, 提出一种基于后验概率 度量的粒子滤波跟踪算法-For shelter, illumination changes, scale variations in complex environments such as visual tracking problem, a posterior probability metrics based on particle filter tracking algorithm
latticelm-0.3
- 语音识别中处理lattice的工具,可以进行后验概率计算、剪枝等处理-Speech recognition processing lattice tools that can be posterior probability calculation, pruning and other processing
MAPSuperresolution-master
- 最大后验概率MAP算法实现源码,难得一见
bayes(C)
- 贝叶斯融合基本计算方法,解决后验概率的计算问题-Bayes fusion
Bayes
- 贝叶斯最小错误率分类器 用两列数据属性求二维正态分布 求后验概率分类-Bayesian minimum error rate sorter two columns of data attributes seeking seeking a two-dimensional normal posterior probability classification
贝叶斯分类器设计
- 利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。也就是说,贝叶斯分类器是最小错误率意义上的优化。
matlab-MRF-toy-examples
- 一种基于马尔科夫随机场的图像分割matlab源码,包含ICM迭代条件模式求解最大后验概率算法,已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
MAP
- 基于最大后验概率的超分辨图像复原,能够较好的实现频谱外推,实验结果正确-Super-resolution image restoration based on maximum posterior probability, it is possible to achieve a better spectrum extrapolation, experimental results are correct
code-SPL-MS
- 一种新型的跟踪算法,用到了贝叶斯的最大后验概率来计算-a novel tracking method which is using the bayes and MAP
EM_matlab
- 是一种用于含有隐变量(hidden variable)的概率参数模型的最大似然估计或极大后验概率估计的matlab算法。 -EM MATLAB
Partial-discharge-signals-of
- 提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。 -Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active stud
bayes2
- 设计程序,完成基于最小风险的贝叶斯分类器,画出相应的后验概率的分布曲线和分类结果。-Design process, complete the minimum risk-based Bayesian classifier, drawn profiles and classification results corresponding posterior probability.
approx_for_gpc
- 高斯过程二分类中,后验概率的几种估计算法-Approximations for Binary Gaussian Process Classifi cation