搜索资源列表
Naive-Bayes
- 如何运用朴素贝叶斯的公式对两类特征进行分类-How to use simple bayesian formula characteristics of two kinds of classification
HellokinectMAT
- 感知行为的影响因素包括单个关节的动作和不同关节的组态。因此提出一种新的基于关节的位置差异的特征类型，联合包括静态姿势、动作、位移在内的行为信息进行识别。采用关节在两个时间和空间区域的差异来明确地模拟个别关节动力学和不同关节的组态。然后应用主成分分析（PCA）来获得所需的特征。同时应用非参数的简捷的贝叶斯最近邻（NBNN）分类器进行多类行为的分类。这个NBNN分类器避免了帧描述符的量化，计算“图像到类别”的距离而不是“图像到图像”的距离。15到20帧的数据就足以实现手势以及动作的识别，无需应用整个
eMailSystem
- 采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练，实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
pkupr
- 模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised
third_task
- 课程作业：利用贝叶斯进行数据集的分类，并评估分类结果-Using the Bayesian to classify the data set, and uating the classification results
machinelearning
- 机器学习 贝叶斯对wine数据集进行分类-Machine learning Bayesian classifying wine data set
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_inference
- 本程序是用作贝叶斯推论的，训练好分类器，用于计算联合概率密度实现推理-This procedure is used for Bayesian inference, well trained classifier is used to calculate the joint probability density to achieve reasoning
SparseBayes
- 利用稀疏贝叶斯实现的图像分类，实现效果很好，matlab代码-Sparse Bayesian image classification implemented to achieve good results, matlab codes
bayes
- 根据文本内容，使用朴素贝叶斯进行文档的分类。-According to the text, using Naive Bayes to classify documents.
bayes
- 利用贝叶斯朴素算法对文本的内容的褒贬属性进行分类-Naive Bayesian algorithm to appraise the contents of the text property classification
SB_release1
- 稀疏贝叶斯数据分类源程序第一个版本，里面附有相应的m文件和例程，解决数据分类问题。-Sparse Bayesian data classification source program first version, which is accompanied by the corresponding M files and routines to solve the problem of data classification.
模式识别bayes实验
- 用身高和/或体重数据进行性别分类的实验 试验直接设计线性分类器的方法，与基于概率密度估计的贝叶斯分离器进行比较。 体会留一法估计错误率的方法和结果
c3d2matixgenerate
- 贝叶斯线性分类器作业,模式识别，最小错误率线性分类器-Bayes classification，Linear classifier design，Pattern Recognition
main
- 对3维2类样本，进行基于贝叶斯的分类，分类结果明显-Class 2 for three-dimensional samples, based on Bayesian classification, classification results significantly
Class
- 分类判别 马氏距离 贝叶斯 广义平方距离 Fisher判别-Classification discriminant Bayesian markov distance of generalized square distance Fisher discriminant
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
pusu
- 朴素贝叶斯法是基于贝叶斯定理与特征条件独立假设的分类方法-Naive Bayesian method is a method of Bayesian classification and characteristics of conditional independence assumptions based
Bias_algorithm_java
- 贝叶斯算法java实现,在贝叶斯算法思想基础上做改进，提供文本分类效率-Bias algorithm java implementation, based on the idea of Bias algorithm to improve the efficiency of text classification
Bayes
- 使用贝叶斯对文本进行分类，判断适不适合出去玩-Use Bias to classify the text, the judge is not suitable for play