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贝叶斯概率分解源码
- 贝叶斯概率分解的matlab详细源码,里面有详细的推导过程
贝叶斯分类器
- 贝叶斯分类器设计,分参数已知和参数未知两种情况,含最大似然参数估计代码
User and Movie
- 本实验采用朴素贝叶斯模型,对于每个用户曾经评分过的电影判断其性别。直观上来说,不同的电影对于不同性别的人吸引力不同,如男性更喜欢武侠剧、动作剧,而女性更喜欢爱情剧。因此这样建立模型是可以理解的。对每个训练数据组建立分布表。依据最大似然准则判断性别。对于年龄采用相似的方法进行判断。包括源程序和实验报告。(In this experiment, a naive Bayes model is used to determine the gender of each movie that the use
bcs_ver0.1
- 贝叶斯压缩感知源代码,可以实用无线传感器网络、图像处理等应用领域。感兴趣的朋友可以下载哦。(Bayes compressive sensing is applied in wirless sensor networks, image processing and so on. If you are interested, you can dowload them.)
naiveByes
- 朴素贝叶斯分类器基于一个简单的假定:给定目标值时属性之间相互条件独立。(The simple Bias classifier is based on a simple assumption that attributes are independent of each other when given the target value)
模式识别第一次作业
- 1. 用 dataset1.txt 作为训练样本,用dataset2.txt 作为测试样本,采用身高和体重数据为特征,在正态分布假设下估计概率密度(只用训练样本),建立最小错误率贝叶斯分类器,写出所用的密度估计方法和得到的决策规则,将该分类器分别应用到训练集和测试集,考察训练错误率和测试错误率。将分类器应用到dataset3 上,考察测试错误率的情况。(1. using dataset1.txt as training samples as test samples by dataset2.tx
BMS_matlab
- 用于Matlab的BMS工具箱用来执行贝叶斯模型平均(BMA)计算模块(BMS toolbox for Matlab allows to perform Bayesian Model Averaging (BMA) with the R-library 'BMS' out of Matlab. The toolbox provides the core functionality to call an R session in the background that actual
bcs_vb
- 贝叶斯压缩感知 bayesian compressed sensing(bayesian compressed sensing)
bayesian-belief-networks-master
- 方便进行贝叶斯网络的学习与推理,提供了多种方便好用的API(learning and reasoning based on Bayesian network)
9cb364be040f6248013a44a3d343b582
- 贝叶斯网络的学习 。贝叶斯网络的学习分为:结构学习和参数学习。(Bias network learning. Bias network learning is divided into: structure learning and parameter learning)
NBC(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类,使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)
Bayesian Efficient Multiple Kernel Learning
- 基于贝叶斯核学习的文档,在分类以及判断类别方面有帮助(Based on Bayesian Nuclear Learning)
NBC
- 朴素贝叶斯模型,用来做大数据的分类,是一种很简单易上手的模型,代码很简单,有例子。(Naive Bayes model is used to enlarge the classification of data)
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
nativebayes
- 这是我参照统计学习书(李航著)中贝叶斯算法伪代码实现的MATLAB仿真代码,代码全是自己写的,完全按照书中书写,代码包含完整运行实例,可以直接运行,代码还包含一定的步骤说明,新手可以参考说明读懂代码。(This is my reference book of statistical learning (Li Hang) MATLAB simulation code Bayesian algorithm pseudo code implementation, the code is written
bayesClassifier
- 基于贝叶斯网络推理相关算法,处理灰度图像(Bias reasoning algorithm)
myBayes
- 这个是本人自己写的朴素贝叶斯算法,参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
贝叶斯决策实现线性样本分类
- MATLAB语言编程,用贝叶斯决策算法实现线性样本分类,输入待分类样本,输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
matlab_infer_bayes
- matlab实现贝叶斯网络推理的一些信息,包括FullBNT包(Matlab implements some information about Bayesian network inference, including FullBNT packages)
FullBNT-1.0.4
- 新的matlab贝叶斯神经网络工具箱,可以下载和安装。(New Bayes neural network toolbox of MATLAB)