搜索资源列表
face-Bayes-GaussianNB
- 用贝叶斯中的高斯类库实现人脸识别，结合PCA算法实现(Face recognition using the Gauss class library in Bayes, combined with PCA algorithm)
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
bayes
- 自己书写的一段机器学习的朴素贝叶斯算法，基于Python实现(The Implementation of Bayes Algorithm in Python)
bayesian_regression
- 贝叶斯回归是一个很好的回归模型。相对与其他模型，贝叶斯回归可以避免因为模型过简单或者过复杂而产生的拟合不足和过拟合的问题。(Bayesian Regression is a good regression model. Compared with other models, Bayesian Regression can avoid the problems of Under-fitting and Over-fitting resulting from the simple or too co
Sciprts
- 用 dataset3 作为训练数据，用 dataset4 作为测试数据，采用不同的特征、训练样本数、分类方法进行比较实验，观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器（假设正态分布，先验概率各 50%）。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an
相关向量机
- 稀疏贝叶斯学习中相关向量机学习程序资料，一起学习(In sparse Bayesian learning, correlation vector machine learning program data, learning together)
BYS11
- 贝叶斯结构The proposed approach integrates target existence uncertainty and target dynamical model uncertainty using independent Markov chains within the general Bayesian framework. Its performance is compared with other PDA based solutions-IMM-PDA and IM
BYS12
- 贝叶斯结构The proposed approach integrates target existence uncertainty and target dynamical model uncertainty using independent Markov chains within the general Bayesian framework. Its performance is compared with other PDA.(The proposed approach integra
BYS14
- 贝叶斯推理Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential mode(Bayesian modeling and inference for generalized linear models, accelerated life failure models,
BYS15
- 贝叶斯方法2Image Restoration: Model, Bayesian Inference and Iteration Algorithms Researc(Image Restoration: Model, Bayesian Inference and Iteration Algorithms Researc)
SparseBayes_相关向量机函数包
- 使用稀疏贝叶斯相关向量机方法对数据进行优化处理，(Use sparse Bayesian method to optimize the data)
Harmonized World Soil Database (version 1.1)
- 随机波动模型贝叶斯分析的缺陷-论文，参考资料(Harmonized World Soil Database (version 1.1))
SpatialModels
- 区域健康和死亡率变化的贝叶斯模型；彼得·康登，统计和地理中心，QMUL(Bayesian models for area health and mortality variations; an overview Peter Congdon, Centre for Statistics and Dept of Geography, QMUL)
贝叶斯综合
- 基于贝叶斯压缩感知非均匀线阵方向图综合的两篇文献(Two literatures on the synthesis of nonuniform linear array pattern based on Bayesian compression)
PyRate-master
- PyRate是一个使用贝叶斯框架来估计物种形成、灭绝和保存率的Python程序。(PyRate is a Python program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.)
块稀疏贝叶斯学习快速算法
- 块稀疏贝叶斯学习快速算法，基于论文快速块稀疏贝叶斯学习算法的理论与应用
py_ex
- 利用朴素贝叶斯理论，将垃圾邮件的做分类，使用python代码，内涵邮件数据(Naive Bayes theory is used to classify spam, using Python code, and content mail data.)
指纹定位算法仿真代码
- 基于rssi的室内定位算法，NN,KNN,WKNN及贝叶斯算法的对比。(The indoor location algorithm based on RSSI is compared with NN, KNN, WKNN and Bayes algorithm.)
稀疏贝叶斯
- 基于稀疏贝叶斯学习的稀疏向量恢复算法，里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)
zuoye
- 对图像进行分割，同时根据贝叶斯分类准则，对图像进行准确分类，可以分别识别各种图形的形状(The image is segmented, and the image is accurately classified according to Bias classification rule, and all kinds of shapes can be identified separately.)