搜索资源列表
NativeBayes
- 朴素贝叶斯垃圾邮件分类器，好歹哦后期维护阿里斯顿啊两千万(Naive Bayes spam classifier)
bayes
- 基于概率论的分类方法 :朴素贝叶斯 学习朴素贝叶斯算法进行简单的二值分类(Classification method based on probability theory: Naive Bayes Learning naive Bayes algorithm for simple two valued classification)
朴素贝叶斯源码
- 朴素贝叶斯分类器用Python实现，基础代码适合初学者(Naive bayes classifier is implemented in Python, and basic code is suitable for beginners)
byaes
- 与大家分享各种类型贝叶斯分类器，传统贝叶斯分类器(Traditional Bayesian classifier,Bayes_example)
naiveBayesian2
- 数据挖掘十大算法之一，朴素贝叶斯算法的实现(One of the ten data mining algorithms and the naive Bayesian algorithm)
adaptiveBasis
- 贝叶斯参数学习电饭锅电饭锅的辅导费规范地方(Bayesian parameter learning)
bayes
- 基于贝叶斯理论的分类方法，过滤垃圾，从个人广告中获取区域倾向(Classification method based on Bayesian theory, Filter out rubbish, obtain the regional tendency from the personal advertisement)
模式识别第二次作业
- 基于贝叶斯原理，通过体重身高数据进行性别分类(Based on Bayes principle, sex classification is carried out by body weight and height data)
work
- 贝叶斯下文本分类器，python语言，包括中文分词和英文分词(Bias's lower text classifier, python language, including Chinese participle and English participle)
Bayes classifier
- 基于贝叶斯分类器的数据处理与MATLAB实现(Data processing based on MATLAB implementationof Bayes classifier)
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)
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
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,